Data Scientist, Senior Resume Samples
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Data Scientist, Senior Resume Samples
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LB
L Becker
Lester
Becker
7146 Gutmann Squares
New York
NY
+1 (555) 802 8551
7146 Gutmann Squares
New York
NY
Phone
p
+1 (555) 802 8551
Experience
Experience
Los Angeles, CA
Data Scientist Senior
Los Angeles, CA
Schroeder-Hartmann
Los Angeles, CA
Data Scientist Senior
- Driving innovation in modeling technology and process
- Work to maintain upgrades on infrastructure using change control methods and testing prior to upgrades
- Expert in DB design & modeling using MS SQL in UNIX/Linux/Windows platforms
- Understands all phases of the analytic process including data collection, preparation, modeling, evaluation, and deployment
- Mapping interesting data sources to identify future application fields
- Participating in authoring white papers, proposals and publications
- Undertakes necessary analysis/modelling to support business decisions
Chicago, IL
Data Scientist, Senior
Chicago, IL
Lind-Wisoky
Chicago, IL
Data Scientist, Senior
- Leading Cloud computing technologists and data scientists to solve large
- Learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics. Create large
- Learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics
- Understand manner. Develop machine learning, data mining, and statistical and graph
- Facilitates and/or manages the general operations of the store ensuring that the store is in working order and adequately maintained to ensure safe and efficient operations
- Ended questions. Assist with data ingestion, data warehouse architecture, tuning, the development of Structured Query Language (SQL) queries, and performing data conversion in support of automated data ingestion and analysis. Create custom analytic and data mining algorithms to help extract knowledge and meaning from vast stores of data. Refine a data processing pipeline focused on structured, unstructured, and semi
- Communicate with customers, standing and maneuvering around sales floor and stockroom, operate register, lift and carry 30 pounds, hang/fold merchandise, climbing, reaching, pushing / pulling
present
Los Angeles, CA
Data Scientist / Senior Data Scientist
Los Angeles, CA
Orn Inc
present
Los Angeles, CA
Data Scientist / Senior Data Scientist
present
- Lead analytic and technical innovation through framework and model development
- Develop algorithms and build data models for use in applications and process improvements
- Building machine learning frameworks to drive personalisation and recommendations
- Leverage off-the-shelf solutions to develop customized data visualizations
- Develop expertise in concepts, methods and supporting technology relevant to analytics
- Participate in data source investigation, application development and user acceptance testing
- Working in cross functional teams to deliver innovative data driven solutions
Education
Education
Bachelor’s Degree in Statistics
Bachelor’s Degree in Statistics
Duke University
Bachelor’s Degree in Statistics
Skills
Skills
- Proven ability to understand complex business and technical concepts and to be able to make good judgment when faced with trade-offs
- Strong attention to detail and the ability to work independently in a fast paced environment
- Detailed knowledge of how data and analytics solutions are implemented in existing programming languages and design patterns
- Excellent verbal and written communication skills, able to communicate cross-functionally
- Ability to effectively communicate technical details of solutions and methods to both technical and business audiences
- Strong organizational skills and ability to multi-task in a fast-paced environment
- Strong ability to analyze data or reports to articulate the "so what" to the business owner or leadership
- Strong interpersonal skills, with a desire to work as part of a global team
- Proven excellent customer service skills with statistical track record in all areas of sales
- Demonstrated critical thinking skills, strong analysis and problem solving skills
15 Data Scientist, Senior resume templates
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1
Data Scientist, Senior Resume Examples & Samples
- Collaborate with business SMEs in the development of training and reference materials to ensure that solutions are utilized in the most effective and highest quality manner
- Represent EY’s Data Sciences competency to various internal audiences
- Mentoring and supervison of developers
- Practical experience deploying advanced statistical and machine learning techniques for classification, prediction, recommendation, clustering and optimization in a commercial context
2
Data Scientist, Senior Resume Examples & Samples
- 5+ years of experience with analytics at the advanced level and with Cloud computing technologies to play a key role in project work, capability building, and business development
- Experience with Hadoop, MapReduce, and HDFS
- BA or BS degree in CS, Information Science, Software Engineering, Informatics, or a CS-related field
3
Data Scientist, Senior Resume Examples & Samples
- Supervises associates engaged in sales, inventory receipt, reconciling cash receipts, or in performing services for customers. Prepares weekly schedules to ensure proper floor coverage within fiscal guidelines; reviews time sheets and other payroll documentation for accuracy and submits as appropriate
- Promotes customer service by ensuring associates are greeting and assisting customers; responds to customer inquiries and complaints in a professional and timely manner
- Models sales expectations by utilizing various techniques and communicating product knowledge to the customer; recommends merchandise selections or helps to locate or obtain merchandise based on customer needs and desires
- Maintains a visually appealing store, ensuring proper housekeeping, visual merchandising, and organization are kept to the highest standard. Trains associates on visual merchandising techniques to ensure store is maintained at all times
- Monitors associate sales activities and productivity; acknowledges and communicates performance to associates; motivates and trains associates to achieve full potential
- Performs all financial activities effectively and in accordance with policy including cash handling and reporting, price changes, and merchandise handling; ensures all register transactions are completed accurately and in accordance with policy
- Administers all operational processes including inventory receipt/dispatch, daily replenishment of floor merchandise levels, and execution and preparation of physical inventories
- Facilitates and/or manages the general operations of the store ensuring that the store is in working order and adequately maintained to ensure safe and efficient operations
- Supports compliance with all applicable laws, loss prevention policies, operating procedures and controls; conducts associate training as needed to reinforce proper controls
- Assists in the recruiting, hiring, and development of store associates; interprets Key Performance Indicator reports and delivers coaching as needed; provides feedback to Store Manager for associate performance appraisals and evaluations
- Other duties as assigned/required
- Prior retail or sales management experience preferred
- Excellent communication, verbal, and written skills
- Proven excellent customer service skills with statistical track record in all areas of sales
- Strong organizational skills and ability to multi-task in a fast-paced environment
- Strong leadership qualities, training and team building skills
- Knowledge of administrative aspects of store operations
- Communicate with customers, standing and maneuvering around sales floor and stockroom, operate register, lift and carry 30 pounds, hang/fold merchandise, climbing, reaching, pushing / pulling
- Regular attendance is essential to this position in order to ensure adequate coverage to meet company objectives. Ability to work a flexible work schedule, including nights, weekends, and holidays is required.v
4
Health Data Scientist, Senior Resume Examples & Samples
- 8+ years of experience with advanced analytics and in statistical and analytic roles
- Experience in a project management role, leading teams in working with large data sets
- Experience with analytics spanning data mining and modeling using SQL, SAS or R, machine learning, and algorithm theory
- Experience with managing analytic teams in a project or client environment and managing analysts using R, Perl, Python, Java, or other languages for large scale analysis of numerical and textual data
- Experience with product development to lead teams in the creation of data-driven products and advisory services
- Knowledge of Big Data technologies, including Hadoop, No-SQL, and Cloud computing
- Ability to function as a thought leader, team evangelist, business strategist, and business developer and can engage and motivate client and internal teams
- Ability to quickly translate analytic methods and insights for those not as familiar with the underlying concepts
- 10+ years of experience with data analytics
- Experience in the health field
- Experience with management consulting
- Experience with proposal and RFP’s
- Experience in working with large data sets
- BS degree in CS or a related field preferred; MBA degree a plus
5
Data Scientist, Senior Resume Examples & Samples
- Work with feature teams to develop success indicators and analyze the impact of improvements using statistical and experiment driven approaches
- Provide input to development teams on what data needs to be collected to support the analysis and enable better insights
- Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques to identify driving factors and answer hard questions
- Directly incorporate your models, indicators, and segmentations into dashboards, reports, and experiment systems
- Collaborate with researchers and other data scientists across the team to leverage and share data, insights, and best practices
- Present findings and recommendations to key decision makers at various management levels using story-telling and compelling visualizations
6
Data Scientist / Senior Data Scientist Resume Examples & Samples
- Building machine learning frameworks to drive personalisation and recommendations
- Building predictive models to support marketing and KYC initiatives
- Be a champion for advanced analytics across the business, educating the business about its capability and helping to identify use cases
- Currently in a data scientist role
- Experienced in delivering analytics solutions at scale using Hadoop platforms and NoSQL databases, including solutions to drive personalisation and recommendations
- Experience of elastic search would be an added advantage
- Expert knowledge of R, SAS, or similar and experience of using Spark, or Mahout machine learning libraries
- Expert knowledge of SQL, PIG, HIVE, shell scripting and strong programming skills such as Python, Java, Ruby, Scala or Perl
- A self-starter with a go-getter attitude
- A creative/lateral thinker able to resolve problems
- Confident enough to make well informed judgements to resolve problems on a wide range of issues
- People orientated
7
Marketing Data Scientist Senior Associate Resume Examples & Samples
- Completed analytical projects from start to finish (data gathering and manipulation, overall analytical assessment, project documentation, communication packaging, and presentation of results)
- 5+ years SAS experience
- SAS Advanced certification
- Knowledge of “Big Data” processes, such as In-Database and Grid Computing
8
Data Scientist / Senior Data Scientist Resume Examples & Samples
- Understand the business problem and context and relate those to data sources which exist
- Define the problem and select appropriate algorithms / techniques based on business, computational and accuracy requirement
- Perform elements of data cleaning, feature selection and organize experiments in conjunction with best practices
- Find answers to customer experience problems through the scientific analysis of data
- Develop algorithms and build data models for use in applications and process improvements
- Visualize data to tell compelling stories
- Analyze and interpret the results of customer support interactions using statistical methodologies
- Drive the collection of new data and the refinement of existing data sources Xerox is the world's leading enterprise for business process and document management. Its services, technology, and expertise enable workplaces - from small businesses to large global enterprises - to simplify the way work gets done so they operate more effectively and focus more on what matters most: their real business. Xerox offers business process outsourcing and IT outsourcing services, including data processing, healthcare solutions, HR benefits management, finance support, transportation solutions, and customer relationship management services for commercial and government organizations worldwide. The company also provides extensive leading-edge document technology, services, software and genuine Xerox supplies for graphic communication and office printing environments of any size. Xerox serves clients in more than 160 countries. For more information, visit www.xerox.com, www.news.xerox.com, www.realbusiness.com or www.xerox.com/businessservices
9
Marketing Data Scientist Senior Associate Resume Examples & Samples
- Turn unstructured business questions to structured analytical solutions
- Deliver tactical and strategic insights through analytics, reporting with state of the art visualization techniques
- Provide subject matter expertise for implementing effective test designs for multitude of campaigns
- Analyze campaigns to generate statistically sound measurements and conclude its effectiveness
- Align with data owners and department managers, contribute to the development of data models and architecture for analytics
- Support implementing data delivery solutions -- data design, ETL procedures, end-to-end data process management, and administering enterprise controls
- Implement data management processes - including design, documentation, maintenance, enhancements and validation
- Explain results to stakeholders in simple and concise business terms
- The candidate should have 5+ years of analytical and/or modeling experience
- Candidate should have a Master’s degree, PhD preferred (Math, Computer Science, Engineering, or Sciences) and working experience in financial industry
- Hands-on experience in engineering data solutions
- Proficient with data management, reporting and analytical methods
- Technical understanding of data extraction, transformation and load processing
- Proficient in standard data mining and analytical methods, SAS and/or R experience required
- Unix scripting skills / DB – SQL experience / other programming skills
10
Marketing Data Scientist Senior Associate Resume Examples & Samples
- Deliver tactical and strategic marketing insights through analytics, reporting and state of the art visualization techniques
- Provide subject matter expertise for data driven decision and opportunities
- Analyze, integrate and mine “big data” to drive actionable insights and deliver business values
- Interact with senior leaders within CCB organization to drive and develop business strategy and performance
- Develop models and data-driven solutions that add material lift to the business
- Hands-on experience in delivering analytics and insights to multiple levels of management
- Tangible experience with business strategy and tactical implementation
- Proficient in standard data mining and analytical methods
- Proficiency in data analysis languages (R, Python, SAS)
- Expert in time series analysis, unsupervised and supervised learning algorithms, dimensionality reduction techniques
- Experience with SQL and other processing languages
- Experience with dynamic and interactive reporting applications
11
Consulting Analytics Senior Data Scientist Senior Consultant Resume Examples & Samples
- Data ETL, modelling and analysis
- Segmentation
- Descriptive and predictive modelling
- Business analytics & dashboard development
- Custom software solutions (Javascript, Python etc.)
- Supporting client engagement work in a variety of industries, areas and specialisms
- Assisting in the scoping and delivery of analytical projects
- Leading the design and delivery of innovative solutions using latest open source and proprietary technologies to meet client needs
12
Data Scientist Senior Consultant Resume Examples & Samples
- 5+ years of data analytics work in a professional environment
- 3+ years of SAS or SSAS is ideal
- Familiarity with reports generation
- BS degree in a related field is required
- Ability to obtain/or current US government security clearance is required
- Excellent MS Word, Excel, and PowerPoint skills
- Ability to manage stakeholders and meet tight deadlines
- PMP is a plus but not required
- SSIS and SSRS are a plus but not required
13
Shop Insights Data Scientist Senior Manager Resume Examples & Samples
- Enable dataflow across IT and 2nd and 3rd party data providers
- Work with IT ensure appropriate data governance
- Manage Data hygiene and validation for dynamic datasets to ensure accuracy of data
- Work with commercial partners to maintain business rules
- Develop and Maintain BI platform and ensure unfettered access to marketers and activation partners for discovery and activation
- Develop effective data mining and analytics algorithms that enable efficient data discovery, targeting and optimization
- Build and maintain closed loop measurement system
- Experience in Statistics, Machine Learning, Information Retrieval, or Graph Analysis including extensive Experience in the management / manipulation of large data sets 4+ yrs experience with large data sets and big data / distributed computed platforms (e.g. MapReduce Hadoop, hBase, Hive, Pig or other open source big data query tools)
- Expertise in Big Data Technology Platforms
- Expertise in Statistical Modeling and Programming using various software packages including SAS and R
- Expertise in SQL and relational database management
- Knowledge of syndicated analysis and reporting tools including IRI, Nielsen, NPD, etc
- Knowledge of Media Testing, Digital Media planning and Activation, Marketing Mix Evaluation and Optimization
- Complex problem solver who can define, assess, solve, and communicate back to leadership in a clear and concise fashion
- Collaborative partnering
14
Data Scientist, Senior Resume Examples & Samples
- 7+ years of experience with data science or statistical analysis
- 7+ years of experience with project or program management
- 7+ years of experience with managing a client relationship
- Experience with key data science tools and techniques, including big data mining, machine learning, information science, artificial intelligence, expert systems, pattern recognition, or predictive analytics
- Knowledge of MENA regional challenges
- Ability to travel across the MENA region
- Ability to show excellent professional career achievement
- BA or BS degree in Business, Finance, Economics, Engineering, or Science
- Experience with management consulting, including onsite client interaction preferred
- Experience with analyzing international policy and security
- Experience with security cooperation programs
- Experience in working with partner nations
- Experience with industry or consulting in the MENA region a plus
- Knowledge of Arabic language a plus
- MA, MS, or MBA degree in Statistics, Mathematics, CS, Business, Finance, Economics, or an Engineering or Science field preferred; PhD degree a plus
15
Data Scientist, Senior Resume Examples & Samples
- 8+ years of experience with developing software in Java, Javascript, C, C++, or other high level languages
- 1+ years of experience with software integration or testing, including analyzing and implementing test plans and scripts
- 1+ years of experience with Map Reduce programming, the Hadoop Distributed File System (HDFS) and JSON or BSON
- Experience with UI/UX design and HCI principles
- Experience with the design and development of an object-oriented system, developing solutions, and integrating, extending, and contributing to open-source software
- Experience with Apache Spark or Apache Storm
- Experience with ElasticSearch, Log Stash and Kibana, including the ELK stack
- Experience with NoSQL database solutions, including Apache Accumulo, MongoDB, HBase and Big Table
16
Data Scientist, Senior Resume Examples & Samples
- 12+ years of experience with building Web-based applications and object-oriented design and with developing and employing technologies, including Ruby on Rails (RoR), Node.JS and Express, AngularJS, JavaScript, HTML5, CSS3, or Bootstrap and Foundation
- 5+ years of experience with Java
- Experience with data gathering and analysis
- Ability to exhibit flexibility, initiative, and innovation to deal with ambiguous and fast-paced situations
- BS degree in CS or Mathematics
- Experience with programming languages, including C++, Python, or .NET
- Experience with Big Data programming technologies, including Hadoop, MapReduce, Accumulo, Cassandra, HBase, R, Mahout, Pig, MongoDB, and Hive-BA
- MS degree in CS or Mathematics a plus
17
Data Scientist, Senior Resume Examples & Samples
- 7+ years of experience in working with data analysis and manipulation
- Experience with extracting, transforming, and loading data
- Experience with commercially available tools
- Experience with data visualization and data statistics
- Ability to think creatively to develop innovative solutions in a team environment
- BS degree in Statistics, Mathematics, Physics, or CS preferred; MS degree in Statistics, Mathematics, Physics, or CS a plus
18
Data Scientist, Senior Resume Examples & Samples
- 12+ years of experience with developing software in Java, C, C++, or other high-level languages
- 3 years of experience with developing software for UNIX or Linux, including Redhat, CentOS, or Ubuntu, and with software integration or testing, including analyzing and implementing test plans and scripts
- Experience with the design and development of an object oriented system
- BS degree in CS, Physics, Statistics, or Mathematics
19
Devops Data Scientist, Senior Resume Examples & Samples
- 12+ years of experience with development in Java, JavaScript, C#, C++, or other high level languages
- Experience with spending time as a developer in any of the popular languages to assist other developers with build automation
- Experience with implementing Public Key Infrastructure (PKI) solutions
20
Data Scientist, Senior Resume Examples & Samples
- 9+ years of experience with developing software in high-level languages, including Java, C, or C++
- Experience with the design and development of an object-oriented system and version control systems, including Github or Gitlab
- Experience with developing solutions, integrating, extending, and contributing to open-source software
21
Data Scientist, Senior Resume Examples & Samples
- 4+ years of experience in the data science and analytics field
- 4+ years of experience in programming with data analysis software, including R, Python, or MATLAB
- 2+ years of experience with analyzing large data sets or developing analytics
- Experience with Apache Spark and Deep Learning
- Experience with supervising algorithm implementation in Cloud computing environments
- Experience with developing software to generate reports and visualizations that summarize data sets and provide data-driven insights
- Experience with applying ML and prediction algorithms at scale in product in at least one of the following applications: recommender systems, time series prediction, NLP, or decision systems
22
Data Scientist, Senior Resume Examples & Samples
- 11 years or more of relevant experience in the Intelligence Community and/or DoD
- BA/BS degree in a related field (or equivalent experience)
- Highly proficient designing and conducting data science research, geospatial data collection and methodologies and algorithms
- Highly knowledgeable and experienced with geospatial products
- Highly experienced using intelligence community software
- Proactively lead colleagues and customer(s) in prioritizing and solving complex data science challenges and problems
- Utilize strong communication skills to create and present briefing and presentations
- Ability to work in a very dynamic and demanding work environment
23
Data Scientist Senior Resume Examples & Samples
- Functioning as the mentor to junior analytic resources on the team
- Plan effectively to set priorities and manage projects, identify roadblocks and work to get them removed, and understand the importance of meeting client/internal deadlines
- Reviewing project variances against deliverables and possible changes; implement changes at project level as needed; negotiate necessary changes without committing to the impossible, and engage in direct dialogue with client to achieve agreement on project outcomes
- Communicating directly with clients as needed
- Participating in pre-sales support and/or provide post-implementation support
- Delivering formal presentations of work to clients
- Verified ability to work both collaboratively and independently
- Strong knowledge of MS Office, SAS, R, SQL or other similar languages preferred
24
Data Scientist, Senior Resume Examples & Samples
- 8+ years of experience with IT
- Experience in working with multiple programming languages, including Python, PHP, Java, and C#
- Ability to analyze and synthesize large amounts of complex data into relevant insights effectively
- Ability to multi task in a fast-paced environment
- Ability to work as part of a team and independently
- DoD 8570.01M Certification, including IAT, IAM, or IASAE Levels I-III
- Experience in working with geospatial data, including Comma Separated Value (csv) files, Keyhole Markup Language (kml), and Esri shapefiles
- Experience with foreign languages
- Ability to learn new technologies
- Ability to be a leader and identify and solve problems
- CISSP Certification preferred
25
Data Scientist, Senior Resume Examples & Samples
- 1+ years of experience with developing software with AngularJS, ExpressJS, or NodeJS
- Experience with distributed scalable Big Data store or NoSQL, including Accumulo, MongoDB, Cloudbase, HBase, or Bigtable
- Experience with map implementations, including Leaflet, Cesium, and OpenLayers
26
Data Scientist Senior Prin Resume Examples & Samples
- Great communication and presentation skills, especially to those with limited or no statistical or math background
- Excellent applied statistical skills, that include, but not limited to
- O o Ability to manipulate data using data science tools
27
Data Scientist Senior Advisor Resume Examples & Samples
- Interpret data, analyze results using statistical techniques and provide on-going reporting
- Triangulate information across various data sets to provide meaningful insight
- Partner cross functionally with Dell IT and analytics teams to identify and acquire data and maintain databases where necessary
- Transform data and insights into effective visualizations for executive presentations
- Locate and define new process improvement opportunities
- Proficiency with Tableau Software and other business intelligence software
- Technical expertise in creating data models, data mining and segmentation
- Knowledge of statistics and experience using statistical packages
- Proficiency with Excel and PowerPoint
- Dell is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: Dell is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Dell are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Dell will not tolerate discrimination or harassment based on any of these characteristics. Dell encourages applicants of all ages
28
Data Scientist Senior Advisor Resume Examples & Samples
- Assist Dell in achieving key goals across profitability, efficiency and growth
- Develop statistical analysis, algorithms and models that prove or disprove hypotheses and create new insights on Pipeline Management, Sales Productivity, Product/Service/S&P Upsell, Pricing and Cost Analytics
- Work with Sales and Business leaders and provide on-demand Analytics and proactive advanced analytics solutions
- Support other programs and efforts on global team as needed
29
Data Scientist, Senior Resume Examples & Samples
- 12+ years of experience with developing software in high-level languages, including Java, C, or C++
- 3+ years of experience with developing software for UNIX or Linux, including Red Hat, CentOS, or Ubuntu
- 3+ years of experience with software integration or testing, including analyzing and implementing test plans and scripts
30
Data Scientist, Senior Resume Examples & Samples
- A passion and curiosity for data and data-driven decision making
- A strong knowledge of R and/or Python (with working knowledge of certain libraries such as Pandas, SciPy, Numpy)
- A strong Knowledge of cloud computing/AWS/Windows Server R2012 and current data science practice in terms of Data Curation, Algorithms, and Visualization management
- Deep knowledge of applied statistics including complex multivariate statistical analysis, Bayesian statistics, Time Series analysis and Machine Learning Algorithms
- Develop predictive models using but not limited to machine algorithms
- Experience in creating data visualization and familiarity with different techniques
- Ability to convey complex analyses with the most efficient and intuitive visual methods and the ability to effectively communicate the findings
- Experience in real-time asset management with geospatial capabilities
- Project management experience required specifically in a matrix environment
- MSc/PhD in Engineering, Statistics, Computer Science or Data Science
- Experience in the energy/utility industry a plus
- Experience in applying real-time predictive analysis, equipment performance analysis, and geospatial analysis to system operations, engineering, and/or asset strategy
- Ability to solve simple and complex problems involving arithmetic
- Knowledge of statistical theories, concepts, methods, best practices, and analyses as needed to perform at the job level
- Competency in using a combination of feedback and reflection to gain
- Productive insight into personal strengths and weaknesses
- Knowledge of program management theories, concepts, methods, best
- Practices, and techniques as needed to perform at the job level
- Knowledge of relevant programming languages - for example Visual
- Basic, Ladder Logic, Programmable Logic Controller, C, SharePoint, HTML,
- Java, Adobe - as needed to perform at the job level
- Competency in knowing the most effective and efficient processes to get
- Things done, with a focus on continuous improvement
- Ability to manipulate data within hardware, software, or databases as
- Needed to perform at the job level
- Ability to file, store, retrieve and maintain data stored on computers and
- Databases as needed to perform at the job level
- Manage the analytics portfolio projects through a rigorous PMP approach
- Manage the contractors by creating, managing the NDAs, Statement of Works while not only serving as a liaison to the contractor to provide information, data, and operational insights, but also meeting project deadline and within budget
- Provide current progress of the analytics portfolio activities to the PAC and to the stakeholders during the monthly meeting to update and to discuss any issues faced by the team
- Coach and provide support to GCS&S department on the analytical front
- Lead the analytical maturity effort in GCS&S while providing guidance on the different Enterprise analytical efforts
- Conduct research activities and create IT and Modeling solutions to raise the analytical maturity level that would include but not limited to applying cutting edge algorithms such as machine learning algorithms to predict degradation trends and create predictive maintenance schemes for distinct asset classes
31
Mathematics Data Scientist, Senior Resume Examples & Samples
- 12+ years of experience with advanced mathematics and statistics
- Experience with programming languages, such as Python or Java
- Ability to exhibit flexibility, initiative, and innovation in dealing with ambiguous, fast-paced situations
- BA or BS
- Experience with GEOINT data, formats, structures, and standards
- Possession of excellent data gathering, analytical, and problem-solving skills
- MS degree in Statistics, Mathematics, Physics, or CS preferred; PhD degree in CS, Physics, Statistics, or Mathematics a plus
32
Data Scientist, Senior Resume Examples & Samples
- 13 + years of experience with software development leveraging C++ and Python
- Experience with converting algorithm code into C++ and Python
- Experience with the design and development of object-oriented systems and deploying applications in a Cloud environment
- Experience with MATLAB a plus
- Experience with developing in Java
- Experience with UNIX or Linux for cross-platform software development
- Experience with deploying systems in Amazon Web Services (AWS)
- Experience with AWS SDK for Python
33
Data Scientist, Senior Resume Examples & Samples
- 8+ years of experience in algorithm development, including applied statistics and mathematics, extrapolating data patterns through advanced algorithms, and developing user visualizations
- Knowledge of the application of decision modeling or data mining, including Monte Carlo simulation, clustering, dimensionality reduction, and regression models
- Knowledge of multiple tools and programming languages for data analysis, including R, Python, SAS, SPSS, SQL, and Tableau
- Ability to explain technical concepts and solutions to clients and internal teams
- Experience in leading and managing projects and technical delivery teams focused on analytics and data science
- Knowledge of big data and Cloud computing technologies, including Hadoop, NoSQL, and Amazon EC2
- Ability to work with text mining or natural language processing
34
Data Scientist, Senior Resume Examples & Samples
- Experience with SQL development
- Experience with Hadoop, including HDFS, MapReduce, and YARN
- Experience with data mining and machine learning algorithms and approaches
- Knowledge of Java, XML, and JSON
- Knowledge of statistics and calculus
- BA or BS degree and 6 years of experience with software engineering or MA or MS degree and 4 years of experience with software engineering
- Experience with Docker, Kubernetes, or Red Hat OpenShift
- Experience in developing solutions with Amazon Web Services
- Experience with NoSQL databases, including MongoDB and Accumulo
- Experience with machine learning or natural language processing tools, including MLlib, TensorFlow, Mahout, Weka, and Stanford NLP toolkit
- Experience with Extract, Transform, Load (ETL) approaches and tools, including Pentaho Kettle
- Knowledge of modern enterprise platform architectures and technology stack, including big data storage and processing solutions
- Knowledge of Scala, Python, or R
- Knowledge of statistics, calculus, and linear algebra
35
Data Scientist, Senior Resume Examples & Samples
- 5+ years of experience with object-oriented programming, including Java, Python, Scala, or JavaScript
- Experience in developing with source control and dependency management software
- Experience with Big Data, Cloud computing technologies, NoSQL systems, or Lambda architectures
- Experience with building complex data extraction, transformation, and loading ETL into structured databases, data warehouses, and data processing systems
- Experience with C4ISR systems
- Experience with Git and Maven or similar source control and dependency management
- Experience with Amazon Web Services (AWS) or Microsoft Azure
- Experience with the Apache Hadoop ecosystem, including HDFS, Hive, or HBase, Apache Accumulo, or Apache Spark
- Experience with Apache Storm, Kafka, NiFi, or similar ETL frameworks
- Experience with writing analytics using Java MapReduce, PIG, SQL, or SparkSQL
- Experience with building complex analytics to implement data mining, machine learning, statistics, or graph analytics
- Knowledge of data science, including clustering, classification, and regression and open source frameworks, such as MLLIb, Mahout, or Scikit-Learn
36
Data Scientist Senior Resume Examples & Samples
- IT Techology Development in any of the following fields: cloud technologies; data analytics; social media analysis/analytics; security; data extraction; machine learning; and language translation
- Systems Integration
- Verification and Validation
- Hardware Engineeing
- Develop tools and techniques for analysis
- Evaluate research for practical application
- Apply mathematical or computational methods and lines of reasoning
- Identify new applications of known techniques
37
Data Scientist Senior Prin Resume Examples & Samples
- 10 years’ experience performing data science/engineering work and writing reports based upon the resulting work/accomplishments
- Published data science reports and/or authored new procedures/methods to create innovative statistical approaches to solve complex issues
- Proficiency in statistics packages such as SPSS, SAS, S-PLUS, and R
- Programming skills sufficient to extract, transform and clean multi-terabyte databases
- Significant current experience (i.e., within last 2 years) in data science/engineering work
38
Data Scientist Senior Resume Examples & Samples
- Heterogeneous data processing and multi-channel from different application domains
- Mapping interesting data sources to identify future application fields
- Analyze data collected to extract value
- Conduct studies on the data used to identify new benefits and test them
- Build an academic network to support FIS on topics of R&D
- Coordinate with specialists and experts who develop the systems and applications within FIS
- Operating tools for data volumes: Hadoop, SPARK, MapReduce, SQL, NoSQL
- Programming languages: JAVA, SCALA, RUBI, Python, R, Matlab, C ++
- Good capacity to work in a matrix organization
- Autonomous and rigor in the work
- Team work spirit is essential
- Fluent in English is mandatory (frequent travels abroad)
39
Data Scientist Senior Resume Examples & Samples
- Typically requires a bachelor's degree and ten to twelve years of experience
- Requires more than 10 years experience in this field, with advanced knowledge and skill demonstrated in previous work
- A bachelor degree in a related field may count for up to four years of work experience; a masters degree may add 2 additional years
- Determination of the most appropriate research projects, data collection and methodologies
- Identify, retrieve, manipulate, relate and/or exploit multiple structured and unstructured data sets from various sources, including building or generating new data sets as appropriate
- Interpreted and evaluated the results of data science community’s methods models and/or algorithms, understanding the meaning, limitations and scope of the results, translating into insightful output for data science and/or mission and identifying other applications for use
- Initiate the efficient implementation of methods, tools, algorithms, including preliminary data exploration, data visualization and preparation, model calibration, specification or estimation: and algorithm validation and verification using a comprehensive range of technologies (e.g. software packages, programming languages, computational environments)
- Educate managers and senior internal officers through mediums such as presentations, documentation and discussions
- Lead work unit proactively addressing and responding to the most difficult data science-related challenges in a timely manner while effectively balancing competing priorities
- Coordinate subtasks for successful project task integration
- Demonstrated strong writing and briefing skills consistent with national-level performance
40
Data Scientist, Senior Resume Examples & Samples
- 4+ years of experience with bioinformatics, molecular genetics, or similar
- Experience with Linux systems and programming using languages, including Python, Perl, Java, C++, and C #
- Ability to explain and present complex scientific concepts orally and in writing
41
Data Scientist / Senior Data Scientist Resume Examples & Samples
- Develop and deliver business relevant, innovative reports/analyses for use at all levels of the gRED Clinical Operations department (e.g. leadership, support, project team)
- Serve as a primary contact for the Predictive Analytics team
- Provide oversight to junior team members conducting analysis
- Exercise independent judgment and discretion on analyses and analytics projects – driving to strategic solutions for leadership
- Consult with members of leadership and external stakeholders on the changing landscape of industry standards for clinical operations to support current and emerging portfolio needs (e.g., evolving Phase I model, regulatory timeline shifts)
- Drive requirements gathering for data visualizations and innovative analyses and ensure complete understanding of project objectives and action plans
- Manage communication with study teams at all levels, both written and verbal
- Validate and model data from internal and external sources (typically in Excel) in support of Clinical Development Liaisons and clinical operations study teams
- Lead analytic and technical innovation through framework and model development
- Oversee ad-hoc analyses using internal and external data sets
- Leverage off-the-shelf solutions to develop customized data visualizations
- Lead and support business initiatives with analytics and data driven insights
- Participate in data source investigation, application development and user acceptance testing
- Develop expertise in concepts, methods and supporting technology relevant to analytics
42
Data Scientist, Senior Resume Examples & Samples
- 3+ years of experience with data analytics, data visualization, and reporting using various business intelligence tools, including TIBCO Spotfire, Tableau, Microsoft Power BI, or similar
- Experience with complex data processing pipelines, including Extract Transform Load (ETL) and data ingestion dealing with unstructured and semi-structured data sets
- Experience with data warehouse architectures
- Experience with Microsoft SQL server data tools, Microsoft Business Intelligence Developer Studio, or similar
- Experience with troubleshooting and developing using PowerShell
- Experience with MariaDB, MySQL, or Microsoft SQL Server Analysis Services (SSAS) and Integration Services (SSIS) for automating data ingestions from EXCEL, SQL, CSV file, Web-service, and AWS data sources
- Knowledge of data ingest and database architecture, including the design and composition of database tables, columns, data types, and database layouts, such as data warehouse concepts, design and data integration workflows, and NoSQL database architecture
- BA or BS degree in CS
- Security+ Certification or ability to obtain within 30 days of hire
- Experience with using R, TERR, or Python preferred
43
Data Scientist, Senior Resume Examples & Samples
- Years of Experience: Minimum 5 years
- Job Experience: Minimum 5 years working experience in any of the following areas: Winshuttle
- Create Winshuttle scripts for automating bulk SAP transactions and downloads
- Develop conversion and load programs utilizing Winshuttle to load data
- Take existing functional specifications, then development of a technical spec and code utilizing a waterfall methodology
- Support changes, effort correction (break/fix) of existing Winshuttle programs
- Responsible for loading data in conjunction with mock cutovers and migration to production
- Programming experience in .Net & Java
- Experience in using Winshuttle for SAP ERP data management (data collection, validation & movement) OR business experience in SAP Transactions specifically in Material Master, MRP, Order(Purchase Reqs, SO and STPO) Management
- Significant experience in the use of MS Office (esp. Excel and Access )
- Excellent verbal and written communication skills, able to communicate cross-functionally
- Command line experience on a PC, Mac, or UNIX system
- VBA, SQL, SAP Hana, & ABAP
44
Time Series Data Scientist, Senior Resume Examples & Samples
- 12+ years of experience in research, applied mathematics, algorithm development, or geospatial science
- 3+ years of experience with algorithm code development in Matlab, C++, python, or other high-level language
- Knowledge of mathematics for time-series analysis and spatio-temporal modeling -TS/SCI clearance
- MA or MS degree
- Experience with algorithm development and testing
- Experience with multi-threading algorithms in a Cloud environment
- Experience with operating in Cloud architectures
- Experience with track data from FMV, GMTI, and other sources
- MA or MS degree in Mathematics, CS, Engineering, or a related field
45
Data Scientist Senior Resume Examples & Samples
- Demonstrated skills in data mining, machine learning, programming, dynamic optimization
- Experience in thought leadership in applying data driven models that had a tangible impact on business
- Ability to query databases and apply advanced data manipulation techniques across multiple sources
- Ability to identify and learn applicable new techniques independently as needed
- Experience with tools like Hadoop, Python and Tableau are a plus
- Experience with machine learning algorithms including but not limited to gradient boosted trees, random forest, neural nets and ensemble methods is highly preferred
- Paid training, tuition assistance and career development
- Wellness program with discounts & rewards, and onsite gym at our large locations
- Onsite healthcare at large locations and the standard benefits (medical, dental, vision, 401k)
- Relocation assistance to Northeast Ohio available; learn more about all Cleveland has to offer. https://www.youtube.com/watch?v=56p2ENKC1Bw
46
Data Scientist Senior Associate Resume Examples & Samples
- E.g., R, SAS, MATLAB, general purpose languages
- Large scale data processing tools
- E.g., Hadoop environment, Apache Spark, elastic cloud compute
- E.g., D3.JS, Gephi
- Interpret problems, synthesize analysis, and present information in a way that is understandable to a non-technical person
- Identify and address client needs, build relationships with clients, develop requests for information, demonstrate flexibility in prioritizing and completing tasks, communicate potential conflicts to a supervisor
- Coach and collaborate with associates who assist with this work, including providing coaching, feedback and guidance on work performance
47
Devops Data Scientist, Senior Resume Examples & Samples
- 8+ years of experience with development in Java, JavaScript, C#, C++, or other high level languages
- Experience with a variety of build tools, including Maven, Gradle, CMake, or SBT and OS Packaging, including RPM or Deb
- Experience with Hadoop, Accumulo, Kafka, or Spark
48
Time Series Data Scientist, Senior Resume Examples & Samples
- 3+ years of experience with algorithm code development in Matlab, C++, python, or other High-level language
- Knowledge of mathematics for time
- Series analysis and spatio
- Temporal modeling
- Experience with multi
- Threading algorithms in a Cloud environment
49
Mathematics / Data Scientist, Senior Resume Examples & Samples
- Level with mathematics to ensure study results are properly interpreted and documented. Implement analytical approaches, leveraging knowledge of statistical programming languages, including R, and programming languages, such as Python or Java. Work closely with stakeholders and teammates from non
- Mathematical disciplines to ensure that operational strategies are considered in the context of applying statistical theory. Use statistical theory through modeling, simulation, and large data analysis to deliver lasting measurable improvements to organizations
- Ability to exhibit flexibility, initiative, and innovation in dealing with ambiguous, Fast-paced situations
50
Devops Data Scientist, Senior Resume Examples & Samples
- 8+ years of experience with development in Java, JavaScript, C#, C++, or other high
- Level languages
- Experience with Spring Model
- View
- Controller (MVC), Groovy, or Grails
51
Data Scientist, Senior Resume Examples & Samples
- 5+ years of experience with developing software in high
- Level languages, including Java, C, or C++
- Experience with the design and development of an object
- Oriented system
52
Data Scientist, Senior Resume Examples & Samples
- Ended questions. Assist with data ingestion, data warehouse architecture, tuning, the development of Structured Query Language (SQL) queries, and performing data conversion in support of automated data ingestion and analysis. Create custom analytic and data mining algorithms to help extract knowledge and meaning from vast stores of data. Refine a data processing pipeline focused on structured, unstructured, and semi
- Structured data refinement. Support quick turn and rapid implementations and larger scale and longer duration analytic capability implementations. Use various data business intelligence tools, including TIBCO Spotfire, Tableau, and Microsoft Power BI to assist with data visualization and analysis in support of stakeholders
- Experience with complex data processing pipelines, including Extract Transform Load (ETL) and data ingestion dealing with unstructured and semi
- Structured data sets
- Experience with MariaDB, MySQL, or Microsoft SQL Server Analysis Services (SSAS) and Integration Services (SSIS) for automating data ingestions from EXCEL, SQL, CSV file, Web
- Service, and AWS data sources
53
Data Scientist, Senior Resume Examples & Samples
- Leading Cloud computing technologists and data scientists to solve large
- Scale, complex, and challenging business problems across the public and private sectors. Move across markets and industries, address business challenges, perform analyses, and explain the analyses to the clients in an easy
- Understand manner. Develop machine learning, data mining, and statistical and graph
- Based algorithms and partner with Cloud technologists to ensure proper implementation and usage of said algorithms. Participate in requirements gathering and analysis, process and systems definition, data analysis, presentation of analysis to clients in a format they understand, and the development of algorithm
- Driven products and solutions. Serve as a client interface and help to build and grow existing and current relationships
- Ability to program in an object
- Oriented language, including Java, C++, C#, or Python
54
Data Scientist, Senior Resume Examples & Samples
- Party algorithms, and develop new user interfaces. Develop prototypes leveraging C++ and other Cloud development languages suitable for each candidate technique identified, including Python, Matlab, or Java and evaluate for functional performance against appropriate test data, including images or other data feeds. Migrate prototypes to the agencys Cloud platforms
- Experience with the design and development of object
- Oriented systems
- Experience with UNIX or Linux for cross
- Platform software development
55
Data Scientist, Senior Resume Examples & Samples
- 5+ years of experience with object
- Oriented programming, including Java, Python, Scala, or JavaScript
- Knowledge of data science, including clustering, classification, and regression and open source frameworks, such as MLLIb, Mahout, or Scikit
- Learn
56
Data Scientist Senior Manager Resume Examples & Samples
- Recommendation systems
- Dynamic discounting
- Supply Chain management
- Transportation management
- Have lead a team of data scientists
57
Data Scientist Senior Advisor Resume Examples & Samples
- Interacts with business leaders to understand business strategy, conditions, and problem areas
- Contributes to business strategy and influences decision-making based on information gained from deep dive analyses
- Produces actionable & compelling recommendations by interpreting, exploring, identifying and communicating insights discovered within complex data sets
- Partners with both internal & external sources to gather & examine data from disparate sources with the goal of discovering previously hidden insights
- Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured data to generate actionable insights & solutions
- Constructs predictive models, algorithms and probability engines; verifies model and algorithm effectiveness based on actual results
- Performs requirements gathering, elicitation & analysis of problems presented to gain an understanding of current state issues
- Has ability to rationalize disparate data sources and ability to distinguish the big picture within a data set
- Strong familiarity & experience with data cleansing, preparation and processing
- Familiarity with database modeling & data warehousing principles with a working knowledge of software such as SQL, Toad, Business Objects, etc
- Has experience with a broad range of statistical techniques, including logistic regression, cluster analysis, time series analysis, Machine Learning techniques like Naïve Bayes, SVM, Random Forest & Neural Nets
- Has a strong understanding & implementation of predictive analytical modeling techniques, theories, principles and practices
- Has excellent data mining skills utilizing predictive modeling software such as Statistica, SAS, R, SPSS and ability to work with data source/environments such as Hadoop, Teradata, etc
- Has effective communication & presentation skills
- Ability to lead Analytics projects in a Stats SME role throughout the Analytics lifecycle
- MS / PhD in Statistics, Economics, Mathematics or related field
- 5-6 years of experience developing predictive models
- At least 2 years of experience leading Analytics projects E2E as a Stats SME
- R, SQL, Toad – Data Querying, Processing and Manipulation
- Statistica, SAS, R, SPSS – Statistical Modeling
- R, Excel and Powerpoint - BI and Visualization
- Candidate should exhibit the ability to absorb and develop domain knowledge in the hardware industry (Laptop, Desktop, Server, Storage, etc.)
- Strong business acumen, ability to assess impact on business performance
- Problem Solving: Ability to solve business problems/technical problems on the fly without expecting too much help from others in the team
- Ability to project manage within function
- Strong analytical and critical thinking with problem solving ability
- High adaptability to changing requirements / customers dynamics / work demands
- Ability to effectively handle ambiguous situations
- Demonstrate the ability to think creatively and come up with ideas / thoughts for process & business improvement
- Past experience in direct Customer/ Client management
- Simplify: Focus on what matters most, keep things streamlined and effective
- Personal Effectiveness: Listen, take ownership, be a role model, grow and learn
- Decide: Be courageous, contribute, provide/solicit input, take action
58
Devops Data Scientist, Senior Resume Examples & Samples
- 8+ years of experience with Linux, including bash scripting and systemd
- 5+ years of experience with AWS and C2S
- 2+ years of experience with configuration management tools, including Puppet, Chef, or Ansible
- 2+ years of experience with Jenkins
- Experience with Docker, Mesos, and DC/OS
- BS degree in Computer Science, Physics, or Mathematics
- AWS Certified Solutions Architect – Associate Certification
- AWS Certified SysOps Administrator – Associate Certification
59
Data Scientist, Senior Resume Examples & Samples
- 10+ years of experience with developing software in Java, Scala, Python, C++, or other high level programming language
- 5+ years of experience with developing software on Linux
- Experience with git
- Experience with JVM build tools, including Maven
- Experience in multiple high level programming languages
- Experience with Elasticsearch
- Experiencing with Cloud technologies, including HDFS, Apache Spark, Storm, Kafka, Flink, HBase, and Accumulo
- Experience with DevOps best practices
- MS degree in Computer Science, Physics, or Mathematics
60
Data Scientist, Senior Resume Examples & Samples
- Analyze customer, market and operational data to identify optimization opportunities. Recommend strategies and tactics to target market opportunities. Executes analytical analysis via gathering, manipulating and analyzing large amounts of data to optimize the tradeoffs between customer activation and funding losses
- Provides business reporting by aggregating complex data structures across multiple platforms into concise reports, graphs and presentation quality deliverables
- Provides recommendations that leverage data results to drive response and revenue of ongoing and future initiatives
- Analyzes customer data, recommends strategies and predicts the financial impact of implementing strategies
- Assist in the systematic collection, organization and retention of performance-related data to ensure the Immediate Funds business lead’s information needs are fully met and that useful archives exist to facilitate retention of critical operational, financial and performance information for research & analysis purposes
- Direct the continuous refinement of current performance reports, reporting systems and review processes to improve the quality, timeliness and utility of information available to the leadership team
- Work with FRMS senior leadership team to manage the creation and quality of the monthly Business Operations Review presentations to the Group President and the Executive committee on a monthly presentation cycle
- Minimum 7 years of progressive business experience in areas such as operations, strategic planning, financial analysis, or risk management/analytics
- Strong background in risk management analytics and analytic tools
- Demonstrated proficiency with statistical packages such as SAS, SPSS, R or H2O
- Demonstrated proficiency of multiple reporting techniques such as SSRS, SSIS, Tableau, Access, and Excel
- Experience with Fiserv solutions is preferred
- Direct experience in fraud loss trending and/or revenue forecasting within the financial services industry is a strong plus
- Experience with relational database (RDBMS)
- Strong ability to analyze data or reports to articulate the "so what" to the business owner or leadership
- Business research, business writing, and advanced presentation development skills experience
- Demonstrated critical thinking skills, strong analysis and problem solving skills
- Proven ability to understand complex business and technical concepts and to be able to make good judgment when faced with trade-offs
- Demonstrated ability to manage multiple projects simultaneously and meet stringent work deadlines
- Outstanding oral, written and interpersonal communication and presentation skills across all levels of an enterprise
- Strong attention to detail and the ability to work independently in a fast paced environment
- Maintain extreme confidentiality
- 15%
61
Data Scientist Senior Resume Examples & Samples
- Proficiently utilize analytical tools and data management skills to provide actionable business intelligence
- Maintain business knowledge across the organization and utilize knowledge to develop meaningful studies
- Ensure pertinent data is acquired to solve business problems
- Apply data visualization tools to large data sets to enhance data understanding
- Perform research to keep abreast of industry practices and participate in industry forums
- Maintain an ongoing collaborative relationship with business partners
- Evaluate business unit partner needs and provide guidance as to the value additional analyses could provide
- Provide collaboration and oversight for outsourced studies
- Participate in development of scientific studies which provide measurement and evidence of business value achieved
- Develop concise meaningful written reports and provide oral presentation of information
- Provide ongoing consulting services for business partners to support change management requirements resulting from analytic insights
- Track study progress and provide management with study status reports
- Competence in BI and visualization software - e.g. Cognos and Tableau
- Knowledge of database concepts and practices
- Ability to work in a collaborative, team oriented environment
62
Devops Data Scientist, Senior Resume Examples & Samples
- 8+ years of experience with development in Java, JavaScript, C#, C++, or other high–level languages
- Experience with a variety of build tools, including Maven, Gradle, CMake, or SBT and OS packaging, such as RPM or Deb
- Experience with Spring Model–View–Controller (MVC), Groovy, or Grails
63
Data Scientist, Senior Resume Examples & Samples
- 14 years of experience with performing data science and engineering work and writing reports based upon the resulting work and accomplishments
- Experience with published data science reports or authoring new procedures and methods to create innovative statistical approaches to solve complex issues
- Experience with statistics packages, including SPSS, SAS, S–PLUS, and R
- Experience with programming expertise to extract, transform, and clean multi–terabyte databases
- Experience with data science and engineering work within the last 2 years
- MA or MS degree in Mathematics, Statistics, Operations Research, Engineering, or Science
- Experience with Java, XML, and JSON
- Experience with Extract, Transform, and Load (ETL) approaches and tools
- Knowledge of micro–service architecture and design patterns
- Security+ Certification or ability to obtain it
64
Data Scientist Senior Resume Examples & Samples
- Bachelor’s in Engineering in Computer Science or Information Systems
- Experience in MS SQL with minimum 4-7 yrs in DB
- Design, develop and test Data Models to import data from source systems to meet Project requirements
- Effectively analyze the source data and write SQL scripts to integrate data from multiple data sources
- Efficient in writing & analyze complex sqls
- T-Sql programming (stored procedures, functions, etc.,)
- Database and ETL design concepts
- Experience in data modelling concept – Physical & Logical Data modeling
- Experience with Data analysis, data mapping, data loading, and data validation
- Expert in DB design & modeling using MS SQL in UNIX/Linux/Windows platforms
- Data Analysis skills and experience extracting information from SQL DB, SAP ECC, SharePoint, etc
- Strong database troubleshooting and problem solving skills are required
- Clear understanding of Data Warehousing concepts
- Experience with ETL tools required
- SAP HANA
- SAP DB table exposure in Material master (MARA) and Bill of Materials (KDST/MAST)
- Knowledge of any programming language will be added advantage
65
Data Scientist Senior Resume Examples & Samples
- Intense customer focus both internal and external customers
- Will extract and analyze data from internal databases as well as from external data (i.e
- Will assist businesses using data and analytics to help optimize profits
66
Data Scientist, Senior Resume Examples & Samples
- Experience with machine learning, data mining, and statistics
- Ability to deliver in project settings that requires a grasp of cross–functional subject matter, including people, processes, and technology aspects of change across multiple business units
- Ability to work with and analyze large data sets and develop automated analytics
67
Data Scientist Senior Resume Examples & Samples
- Supports all phases of the Experimental Design Research, EDR, Process. Analytical support includes: metric development, baseline historical analysis development, measurement system analysis, and in developing EDR Analytics expertise
- Manages metrics tracking for all EDR projects
- Conducts qualitative research and manages outside vendors as necessary
- Executes analytics and market research projects to obtain customer-patient insights
- Designs and generates management reports from all enterprise-wide databases (DOMO, Magento, etc.)
- Delivers value-added statistical analyses of data across multiple systems and to working with other groups to solve issues or operational reporting challenges (finance, billing, marketing, etc.)
- Communicates directly with key personnel to design and generate related management-level reports
- Evaluates and analyzes KPI’s across Revenue Management to identify challenges and inefficiencies
- Supports process improvement of identified KCR Roles (supporting COPC as needed)
- Socializes the use of Minitab across the enterprise to enhance organizational capacity
- Bachelor’s degree a minimum
- 10 years of professional experience in a healthcare related field
- Must have EDR (DOE) design and execution experience
- Two years of Minitab experience
- Two years of market research experience and patient engagement experience
- Five or more years of professional work history in SQL, SAS, database management and reporting
- 10 or more years of data analytics and reporting
- Ability to support EDR Design in terms of experimental unit selection, sampling, response variable determination, and baseline historical analysis of total system and experimental units
- Ability to analyze EDR response data and interpret results
- Understand database architecture, generate SQL queries to pull required data that supports analytics
- Ability to analyze complex data, provide meaningful interpretation, and report effectively and efficiently
- Ability to produce analysis and recommendations that can be easily understood
- Able to communicate effectively with management
- Demonstrate project management and organizational skills. Must be able to effectively lead and coordinate cross-functional teams to deliver desired results in the time frame required
- Experience in professional consulting, business intelligence, reporting, metrics development, business process analysis, planning, and new services development
- Experience in dimensional data modeling based on transactional systems in production preferably in a contact or call center environment
- Exceptional communication skills with a focus on collaboration across different organizations and a proven history of effecting positive change in work environments
- Strong understanding of technologies including; enterprise wide systems, web technologies, content management, document management, identity and access management, data warehousing, reporting, dashboards, scorecards
- Demonstrated professionalism, both in appearance and conduct
- Must be self-motivated and able to work with minimal supervision
- Must be detailed oriented and organized
- Proficient in Minitab
- Advanced Excel (pivot and data connection strings are key)
- MS SQL – intermediate to advance query writing ability
- Intermediate to Advanced SQL Server Management Server (or ability to learn quickly)
- Intermediate knowledge of SQL Server Analysis Service and SQL Server Reporting Services (or ability to learn quickly)
- Familiarity with relational and dimensional DB design
- Experienced with advanced Excel features, PowerPivot dimensional modeling, PowerQuery and PowerView
- Experience with SharePoint libraries and lists
- Intermediate experience with relational and dimensional databases
- Experience working with ODBC connections and developing reports for a Contact Center environment
- English (reading, writing, verbal)
- High level mathematical proficiency, with a strong ability to understand, interpret and develop spreadsheet data
- Ability to travel as necessary
- Two to seven years related work experience preferred
- Experience in a Contact Center environment preferred
68
Internal Audit Data Scientist Senior Associate Resume Examples & Samples
- Reporting results and providing insightful results analyses
- Analyzing data and identifying trends, anomolies, etc. and developing reporting to highlight key information
- Partnering with stakeholders to develop and execute various reporting packages and ad hoc reporting requests
69
Computer Science Data Scientist, Senior Resume Examples & Samples
- 9+ years of experience with working on algorithms or developing software
- 3+ years of experience with using Java, Scala, or other high level programming languages
- Experience with graph analytics
- Experience with Apache Spark
- MS degree in CS, Physics, or Mathematics
- Experience with GraphX, Neo4j, or similar
- PhD degree in CS, Physics, or Mathematics
70
Senior Data Scientist, Senior Associate Resume Examples & Samples
- Leads and contributes to data analysis and modeling projects from project/sample design, business review meetings with internal and external clients deriving requirements/deliverables, reception and processing of data, performing analyses and modeling to final reports/presentations, communication of results and implementation support
- Demonstrates to internal and external stakeholders how analytics can be implemented to maximize business benefits. Provides technical support, which includes strategic consulting, needs assessments, project scoping and the preparation/presentation of analytical proposals
- Utilizes advanced statistical techniques to create high-performing predictive models and creative analyses to address business objectives and client needs. Tests new statistical analysis methods, software and data sources for continual improvement of quantitative solutions
- Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects
- Master’s degree with concentration in a quantitative discipline such as statistics, computer science, mathematics, economics, quantitative psychology, or operations research and3 years of relevant industry experience
- Substantial programming experience with almost all of the following: SAS (STAT, macros, EM), R, H2O, Python, SPARK, SQL, other Hadoop. Exposure to GitHub
- Strong expertise in statistical modeling techniques such as linear regression, logistic regression, survival analysis, GLM, tree models (Random Forests and GBM), cluster analysis, principal components, feature creation, and validation. Strong expertise in regularization techniques (Ridge, Lasso, elastic nets), variable selection techniques, feature creation (transformation, binning, high level categorical reduction, etc.) and validation (hold-outs, CV, bootstrap)
- Proficiency in creating effective and visually appealing PowerPoint presentations
71
Data Scientist Senior Machine Vision Resume Examples & Samples
- Bachelor's degree with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field and two to five years of relevant experience in Statistical Modeling, Machine Learning and processing large volumes of structured and unstructured data
- Instead of a degree, four to six years of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools and in using various database tools processing large volumes of structured and unstructured data
- Two to four years of experience with mathematical model creation and/or evaluation, hypothesis testing and experimental design
72
Data Scientist, Senior Resume Examples & Samples
- Experience with analyzing workflows, methodologies, and analytic results using structured and unstructured disparate law enforcement and intelligence community data sets
- Knowledge of law enforcement data or problem sets
- Ability to enable data-driven decision making in a fast-paced, dynamic environment to support tactical targeting outcomes
- Ability to solve large-scale, complex, and challenging problems focused on networks of interconnected nodes, supporting a whole-of-government approach
- Experience with SQL or other related programming languages
- Experience with fusing law enforcement and intelligence community information preferred
- Knowledge of relational databases, structured and un-structured queries, and complex linkages across systems
- Ability to communicate detailed and comprehensive analytic findings in a digestible, logical manner
73
Data Scientist, Senior Resume Examples & Samples
- 8+ years of experience with software development and supporting and administering large enterprise database systems and infrastructure, including large data systems, such as HBase, Casandra, Mongo, or Apache Hawq
- Experience with government work, including VA, HHS NIH, CDC, or others
- Experience with Data Mart, Data Warehouse, and ETL development and concepts
- Knowledge of the application of modern data processing technology stacks, including Spark or Hadoop ecosystem technologies
- Knowledge of NoSQL technologies, including column family, graph, document, and key–value data storage technologies
- MS degree in CS or Computer Engineering
74
Data Scientist / Senior Data Specialist Resume Examples & Samples
- Deliver professional solutions based on advanced modeling techniques and statistical analysis,
- Develop predictive analytics applications related to Business applications,
- Propose optimization and testing models for functional business analysts,
- Serve as subject matter expert and drive thought leadership in the areas of identifying business needs
75
Advanced Analytics Data Scientist Senior Stf Resume Examples & Samples
- Solve complex challenges involving data modeling, scenario creation, and development of business rules to guide technology development
- Partner with business & technical experts to identify analytics opportunities and define requirements
- Create statistical models and simulations, data mining/preparation/cleansing, data classification/clustering, model interpretation, validation & maintenance, and risk analysis
- Ability to document requirements, designs and detailed technical specifications, training materials, operating instructions, and test plans to support development of predictive analytics solutions
- May also require interface with Industrial Engineering, Manufacturing Engineering, Supply Chain Management, Sustainment and other functions
- Data modeling skills and competency
- Knowledge of linkage between data and process
- Mentor/guide other analytics professionals within the team
- Must be a US Citizen, this position will require an ability to obtain a government security clearance
- At least 10 years’ professional experience in modeling and simulation to solve business problems
- Ability to formulate and present findings to Executive/Senior management
- Demonstrated experience mentoring or training junior analysts
- Masters or PhD in quantitative analytics, or related field
- Experience with designing / writing functionality requirements
- Experience incorporating technology capabilities into design development
- Aerospace cross-solution knowledge (supply chain, finance/accounts, HR, sustainment, etc.)
- Experience with one or more of the following: SQL, R, SAP HANA, Tableau, Python, Hadoop
- Experience with scoping problems
76
All Source Analyst / Data Scientist, Senior Resume Examples & Samples
- 8+ years of experience with IT systems and software development
- 8+ years of experience with the DoD, focused on remote sensing and all-source intelligence
- Experience with air, space, or Cyberspace intelligence areas of emphasis in a professional or academic environment
- Experience with the Intelligence Community (IC), remote sensing, and Air Force ISR
- Ability to perform data collection, configuration, performance, and distribution evaluations for remote sensing data
- Ability to lead and coordinate the development of pattern analysis processes to support advanced analytics requirements and produce system analysis approaches to multi-faced modeling activities
- MA or MS degree in Computer or Data Science, Software or Systems Engineering, Predictive Analytics, Data Mining, or Statistics
- Current Security+ Certification
- Experience with Natural Language Processing (NLP), Optical Character Recognition (OCR), and Machine Learning (ML) tools and code libraries
- Experience with Agile development practices and tools, including JIRA and Confluence
- Experience with Microsoft Office Suite of tools
- Ability to learn new technologies and research emerging methods and technologies for the application of remote sensing data
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Data Scientist Senior Resume Examples & Samples
- Understands all phases of the analytic process including data collection, preparation, modeling, evaluation, and deployment
- Under general supervision, formulates and defines analytic scope and objectives through research and fact-finding
- Competent to work on most phases of data analysis and associated programming activities
- Lead analytics projects in concept formulation, determination of appropriate statistical methodology, data manipulation, research evaluation, and final research report
- Regularly provides guidance and training to less experienced data analysts/scientists
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Data Scientist Senior Analyst Resume Examples & Samples
- Master's Degree (Computer Science, Statistics, Engineering, Physics, Mathematics, Economics)
- Minimum of 6 months’ statistical and other tools/languages (SAS, C, C++, Java, Python)
- Minimum of 6 month’s programming experience (C, C++, Java, SAS, Python)
- Some knowledge and intuition in relevant domains (F&A, Procurement, Fraud, Infrastructure Analytics, eCommerce, Security, Retail, Supply Chain Health Care, Pharma, Retail) – with hands on experience handling data driven decisions
- Familiarity with relational databases and intermediate level knowledge of SQL
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Healthcare Data Scientist, Senior Resume Examples & Samples
- Experience with manipulating data sets in the healthcare environment
- Experience with SAS, R, or Python programming languages
- Ability to develop appropriate data models, track and evaluate patterns of care and outcomes, and apply relevant analytical and statistical methods
- Possession of excellent oral and written communication skills, including presentation of client deliverables findings at conferences or internal roundtable discussions
- Advanced SAS Certification
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Data Scientist Senior Resume Examples & Samples
- Experince in MS SQL with minimum 4-7 yrs in DB
- Effectively analyze the source data and wrire SQL scripts to integrate data from multiple data sources
- Efficient in writing & analyse complex sqls
- Knowledge of any programmimg language will be added advantage (preferably DotNet)
- Experience in Manufacturing domain
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Data Scientist Senior Resume Examples & Samples
- Manage and improve our data ingestion, manipulation, and delivery of both operational and analytical data sets throughout the business
- Expand and modernize our data warehouse Extract Transform and Load (ETL) process leveraging modern cloud technologies on the Azure platform
- Define and implement our growing analytical API
- Help guide the data structure of our Data Warehouse (DW) in order to provide timely and accurate information for the business to make the best decisions
- Respond to reported issues, requests and inquiries of a technical or functional nature. Supporting both platform and application issues from inception to resolution
- Work to maintain upgrades on infrastructure using change control methods and testing prior to upgrades
- Document changes and process along with completing the work
- 4 years of development experience involving the manipulation or throughput of large data sets
- Experience managing a relational database
- Object oriented programming experience
- Developed integration between multiple systems using third party API's
- Self-motivated, innovative person with analytical, problem solving, organizational, and interpersonal skills with the ability to adapt to changes and new ideas
- Basic IT skills such as understanding basic networking, pc application installations
- Ability to demonstrate history of positive customer communication and relationship management
- Candidates need to have experience with object oriented programming as well as strong SQL experience
