Data Science Analyst Resume Samples
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Data Science Analyst Resume Samples
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JL
J Ledner
Jimmy
Ledner
742 Anabel Forks
Los Angeles
CA
+1 (555) 209 7592
742 Anabel Forks
Los Angeles
CA
Phone
p
+1 (555) 209 7592
Experience
Experience
Los Angeles, CA
Data Science Analyst
Los Angeles, CA
Halvorson-Schinner
Los Angeles, CA
Data Science Analyst
- Track record of operating independently, demonstrating creativity, being detail-oriented, and delivering results in a highly organized manner
- Aid in the design of various experiments, formulation and discovery of various hypotheses, as well as the training and scoring of existing and potential models
- Cross-functional Influence Influencing various internal product teams and communicating results Spreading best practices to analytics and product teams
- Documents projects including business objectives, data gathering and processing, detailed set of results and analytical metrics
- Analyze data at large scale using distributed computing tools such as Hadoop, Hive, Spark
- Identifying Innovative approaches to using data in support of business growth
- Adept at performing basic statistical analysis, such as calculating statistical significance, distributions, etc
Dallas, TX
Mgen Bioinformatics Data Science Analyst
Dallas, TX
Koss Inc
Dallas, TX
Mgen Bioinformatics Data Science Analyst
- Collect feedback about the informatics portal and work with the development team on continued product development
- Perform NGS related data analysis to support M2Gen/ORIEN projects
- Utilize, demonstrate and develop analytics and visualization tools like Qlikview to query, analyze and interpret ORIEN Avatar genetic and genomic data, clinical data
- Perform data QA/QC using Avatar informatics portal
- Perform queries and custom analyses to support basic and clinical researchers at ORIEN member cancer centers or pharma sponsors
- Educate researchers on use of the ORIEN Avatar platform to address their own questions
- Serve as the ORIEN members "go to" person for questions related to ORIEN Avatar data and Informatics portal
present
Chicago, IL
Senior Data Science Analyst
Chicago, IL
Pouros, Corwin and McClure
present
Chicago, IL
Senior Data Science Analyst
present
- Define financial and analytic metrics to measure development and production outcomes and produce performance reports
- Contribute to project planning and management
- Support sales and marketing efforts with sound statistical and financial analysis; execute ad-hoc analyses to meet the fast-changing market demands
- Networks with senior internal and external personnel in own area of expertise
- Regularly engages with the data science community and participates in cross-functional working groups
- Interprets and communicates insights and findings from analysis and experiments to product, service and business managers
- Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data
Education
Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
Illinois State University
Bachelor’s Degree in Computer Science
Skills
Skills
- Ability to conduct usability research studies
- Ability to socialize concepts and ideas to extended stakeholders
- Source data can consist of medical and pharmacy claims, program activity and participation data, as well as demographic, census, biometric, marketing and health risk assessment data
- Demonstrates advanced level proficiency with the principles and methodologies of process improvement. Applies these in the execution of responsibilities in support of a process focused approach
- SQL, SAS (or Stata), Microsoft Office products, Tableau
- Knowledge of Big Data technologies such as Hadoop, Pig, Hive, Aster, Spark, etc
- Knowledge of cloud-based solutions such as Azure, Cortana, Amazon ML, etc
- Cross-industry experience highly appreciated
- Previous consulting experience highly desired
- Shares development and process knowledge with other analysts in order to assure redundancy and continuously builds a core of analytical strength within the organization
15 Data Science Analyst resume templates
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1
Data Science Analyst Resume Examples & Samples
- Work closely with the client to understand their business needs and challenges, so that we provide them with optimal value from the Facebook tools & data available via this unique partnership
- Apply your expertise in quantitative business analysis & data mining to see beyond the numbers to bring the client actionable insights to use for their business strategies, as well as Facebook marketing
- Turn those insights into recommendations and lead the development of targeting clusters & segments that can be used for the client's Facebook campaigns
- Parter cross-functionally with the Insights Product team to access & understand the tools/data sets, our Targeting team to create segments & clusters, the Client team for media implementation strategies and with the Measurement lead to evaluate success
- Feed success & learning back to the Product team to inform, influence and support our Insights product roadmap
2
Data Science Analyst Resume Examples & Samples
- Partner with Product, Engineering, and Marketing teams to solve problems and identify trends and opportunities
- The Data Science Analyst, Mobile Business Insights, role has work across the following four areas
- Data Infrastructure Working in Hadoop and hive primarily, sometimes MySQL, Oracle, and Vertica Authoring pipelines via SQL and Python based ETL framework Building key data sets to empower operational and exploratory analysis Automating analyses
- Product Operations Setting goals Designing and evaluating experiments monitoring key product metrics, understanding root causes of changes in metrics Building and analyzing dashboards and reports
- Exploratory Analysis Helping to direct the product roadmap Understanding ecosystems, user behaviors, and long-term trends Identifying levers to help move key metrics Valuating and defining metrics Build models of user behaviors for analysis or to power production systems
- Cross-functional Influence Influencing various internal product teams and communicating results Spreading best practices to analytics and product teams
3
Senior Data Science Analyst Resume Examples & Samples
- Build predictive models with artificial neural networks and advanced machine learning techniques; interpret and present modeling and analytical results to non-technical audience
- Compile complex predictive model packages for production deployment; support model installations, and monitor and calibrate production models
- Define financial and analytic metrics to measure development and production outcomes and produce performance reports
- Propel analytic product development via conducting statistical analyses on various data sources; and add values to products by innovatively applying the analysis
- Conduct transaction data analyses with Hadoop and big data technologies for internal and external product owners, and develop deeper insights into the products using advanced statistical methods
- Secondary Responsibilities
- Support sales and marketing efforts with sound statistical and financial analysis; execute ad-hoc analyses to meet the fast-changing market demands
- Develop business requirements and appropriate statistical analysis/prototypes to meet critical business needs
- Derive and develop transaction attributes to grow analytic products
- Work on cross functional teams and collaborate with internal and external stakeholders
- Promote analytical innovations and analytic education throughout the Visa organization
- Graduate degree in a quantitative subject such as statistics, mathematics, management sciences, economics, engineering, or similar disciplines
- Must have experience in developing statistical predictive models, and at least 3 years of analytics experience
- Minimum of 3 year experience in bankcard industry or financial service company using analytics for financial products in fraud, credit risk, bankruptcy, or marketing
- At least 3-years hands-on experience with SAS software and 3 years in using Unix system; experience with Python, Java, Hadoop, HIVE, IMPALA, Artificial Neural Networks and XML are desirable, if not proven ability to quickly learn and apply is required
- Must be detail-focused and have business oriented thinking
- Proven ability to apply new technologies and leverage appropriate analytical tools to predictive modeling
- Proven ability of handling multi-tasks in a dynamic environment
- Excellent business writing, verbal communication, and presentation skills
4
Data Science Analyst Resume Examples & Samples
- Explore big data to surface Insights and inform major product/business decisions
- Structure a project plan. Move it from ideation to experimentation to prototype to implementation
- Partner with product and data engineering teams in the development process
- Analyze data at large scale using distributed computing tools such as Hadoop, Hive, Spark
- Build statistical models/machine learning pipelines that aid in prediction/classification (clustering, dimensionality reduction, linear and non-linear models/classifiers)
- 3 - 7 years’ experience in data sciences/business analysis/ media experience preferred
- Self-starter, ability to juggle multiple projects in a faced-paced work environment
- Good coding skills covering programming as well as statistical tools or data oriented languages (Such as: Scala, Python, R, etc.)
- Familiarity with working in cloud environments like AWS and using relevant libraries like Boto, AWS CLI
- Bonus points for familiarity with spatial analysis libraries/concepts
- Background in computer science, applied mathematics, or other quantitative/computational discipline
5
Data Science Analyst Resume Examples & Samples
- BA/BS degree in Math/Stats, Computer Science, Engineering, or other related quantitative field
- Minimum two years of experience in data/analytics for the Analyst role, three years for the Sr. Analyst role, and four years for the Manager role
- Great coding skills to develop stable and efficient data integration and ETL processes in Python, or other similar programming language
- Professional or graduate school level experience with using Amazon Web Services (S3, EC2, Redshift, etc.) and SQL; great understanding of database, table design, joins, data aggregation, data validation, etc
- Experience with using Hadoop, Hive, Spark, Parquet, or other Big Data storing/processing/computing systems
- Excellent logical thinker who is able to identify, articulate, and resolve data related issues
- Advanced degree in Math/Stats, Computer Science, Engineering, or other quantitative field
- Experience with R, Python StatsModel, Scikit-Learn, or other open source modeling tools
- Experience with SoftLayer Cloud Services
- Experience with QlikView/QlikSense, Tableau, or other BI tools
- Experience with digital media data, either web or mobile
6
Data Science Analyst Resume Examples & Samples
- Adept at performing basic statistical analysis, such as calculating statistical significance, distributions, etc
- Ability to query/join/transform data in a relational database
- Ability to interpret data and analyze results to generate insights
- Superb at time management and project management Education and/or Experience Required
- The applicant must have a bachelor's degree or equivalent work experience and training
- Experience with one or more web analytics tools
7
Senior Data Science Analyst, Digital Insights Resume Examples & Samples
- Experience with big data techniques and tools (Hadoop, MapReduce, Hive, Pig, Spark)
- Proficient in one or more machine learning or statistical modeling tools (R, Matlab, and scikit learn)
- Familiarity with Adobe Analytics (Reporting API) and other Adobe Marketing Cloud products
- Knowledge of non-relational databases (Mongo)
8
Data Science Analyst Resume Examples & Samples
- Leverages metrics & predictive analytics to support business objectives and achieve desired results, including profitability & persistency
- Builds more complex predictive models and delivers results to business area management; addresses any questions and/or requests for refinement of predictive models
- Builds a variety of statistical models, evaluates & proves model results; offers solutions to business questions/issues based on statistical analysis
- Advances data science around processes and systems within the organization by extracting knowledge or insights from data in various forms, either structured or unstructured
- Educates the business to promote adoption and usage of data analytics to further business insights
- Consults with management & business stakeholders on use of quality business analytics, tools, and market information for acquisition approaches & opportunities
- Identifies, analyzes, and interprets current & emerging developments/business trends, and presents information to management
- Collaborates with IT & other stakeholders to evaluate current state of data; supports the development of tactical plans to improve data management and resolve technical challenges impeding data availability, quality, metric consistency and credibility
- Supports the development & implementation of a business analytic framework to include forward-looking metrics and insights
- Creates dashboards & scorecards utilizing existing and newly developed metrics and performance monitoring systems to provide management with quantifiable gauges of business results and impact of plans and tactical initiatives
- Recommends process improvements to ensure effective, standardized analytical processes
- Reviews and critiques technical designs and recommends enhancements to various current systems or those under development
- Serves as a resource to management and stakeholders on capabilities and/or system limitations; recommends remediation plans
- Participates in projects for analytics and predictive modeling integration and implementation
- Serves as a mentor to others and as an ad hoc resource for less experienced anaylst
- 3 - 5+ Years of experience in analytics within the financial services industry, including design & implementation of forward-looking metrics to support & optimize business objectives
- Experience with Data Preparation & Analysis, Statistical Methods and Tools, and Insurance Products
- Advanced proficiency in Excel, PowerPoint, and statistical software packages (e.g., SAS)
- A successful candidate will be organized, creative, and interested in solving business problems using data and analytics
- Apply concepts such as probability, statistics, modeling, percentages, ratios, and proportions to practical solutions
- Demonstrates excellent organizational skills with the ability to prioritize workload and multi-task while maintaining strict attention to detail
- Strong project management skills including, critical ability to coordinate and balance multiple projects in a time-sensitive environment, under pressure, and meeting deadlines
- A demonstrated track record of consistently meeting and/or exceeding performance expectations
- Possesses a bias for action and avoids workplace distractions
- Drives performance targets to completion
9
Data Science Analyst Resume Examples & Samples
- Experience in communications and outreach, communicating effectively with senior clients orally and writing for various audiences from multiple points of view
- Knowledge of current social media and digital landscape in designated regions to support CCMD missions
- Ability to work directly with clients to gather requirements, facilitate analysis, and deliver high quality results
- Ability to cross-educate teams by deconstructing analysis, showing analytic process and methodology, validating the tools used to create analysis, and making recommendations based on analysis
- Ability to obtain DoD Contractor Personnel Office (DOCPER) application approval
- Experience in working at a major or combatant command
- Experience with analysis at strategic and operational levels
- Experience with data science preferred
- Experience with Microsoft Excel and PowerPoint
- Knowledge of basic statistics
- Knowledge of data visualization tools preferred
- Possession of excellent data gathering, analytical, and problem solving skills
- BA or BS degree in Communications or Public Affairs and 3+ years of experience with social media platforms preferred
10
Data Science Analyst Resume Examples & Samples
- Develop predictive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques
- Develop and implement scalable and efficient modeling algorithms that can work with large-scale data in production systems
- Collaborate with product management and engineering groups to develop new products and features
- MS or PhD degree in Computer Science, Electrical Engineering or relevant technical fields
- Proficient in SQL and knowledge of relational databases
- Proficient in one or more programming languages such as Python, Java, C and etc
- Knowledge of statistical modeling, machine learning, or data mining techniques
11
Data Science Analyst Resume Examples & Samples
- Mine and analyze data to identify critical business insights
- Build and maintain processes to acquire, process and curate necessary data for analysis and insights
- Translate analytic insights into concrete, actionable recommendations for business or product improvement
- Manage the testing of analytic insights including planning, coordinating, targeting, reporting and optimization
- Communicating out key insights to the wider business teams, taking the complexities of data science and making next steps clear and actionable for all stakeholders
- Discipline-Computer Science, Economics, Engineering, Mathematics, Operations, Psychology, Physics, Statistics (all others are welcome)
- You have a clear addiction to data and you apply it at all levels
- A solid understanding of Machine Learning and Statistics
- Strong interpersonal and communication skills. Must be able to explain technical concepts and analyses implications clearly to a wide audiences, and be able to translate business objectives into actionable analyses
- Bachelor’s Degree
- “Languages”-C, Mathematica, MatLab, Python, R, SAS, etc. (complete fluency in at least one)
12
Data Science Analyst Resume Examples & Samples
- 3+ years of experience in communications and outreach, communicating effectively with senior clients orally and writing for various audiences from multiple points of view
- 3+ years of experience with current social media and digital landscape in designated regions to support CCMD missions
- 3+ years of experience in working directly with clients to gather requirements, facilitate analysis, and deliver high quality results
- 3+ years of experience in cross-education teams by deconstructing analysis, showing analytic process and methodology, validating the tools used to create analysis, and making recommendations based on analysis
13
Data Science Analyst Resume Examples & Samples
- Ability to work independently and with minimal or no direction
- Ability to rapid prototype and move seamlessly between business problems and solutions
- Creativity in using available tools and out-of-the-box thinking to provide the best solution to problems
- Persistence and willingness to learn and apply new techniques/ tools constantly
- Must be able to work onsite in Southlake, TX
14
Senior Data Science Analyst Resume Examples & Samples
- The actual internal level/grade for this role will depend on the candidate’s overall experience and skill level
- Execute all aspects of predictive modeling and other analytic initiatives to address pricing, distribution, claims and other complex business problems. Determine and execute proper model estimation and implementation strategy. Present methodology and intermediate as well as final results to a broad range of audiences at all levels of the organization
- Perform data preparation steps, including extraction of target data from multiple databases, integration of multiple datasets, and creation of derived variables, application of business rules, and quality control checks
- Research, recommend, and implement new and/or alternative statistical modeling and other mathematical methodologies for a variety of predictive modeling projects
- Use the information gathered to develop standard, repeatable and documented processes and reporting as needed, utilizing macros where appropriate
- Contribute to project planning and management
- Effectively communicate results in written, oral and presentation formats
- Collaborate with other LMB Data Science staff to share best practices in predictive modeling and build the LMB Data Science community
- Bachelor's degree in Mathematics, Statistics, or other quantitative field. Masters or Ph.d. level degree is strongly preferred
- At least 2 to 5+ years of related work experience
- Significant academic and/or professional experience applying advanced statistical analysis to solving real-world problems
- Basic knowledge of insurance principles, underwriting and ratemaking concepts and the various functions of an insurance organization, including Finance, Underwriting, Sales and Claims
- Deep proficiency with analytical software such as SAS, Python or R
- Proficiency in Excel, PowerPoint and Access
- Advanced analytical/problem solving and research skills
- Advanced verbal and written communication skills for writing reports/proposals and making presentations, in particular the ability to clearly and effectively communicate technical results to a non-technical business audience
15
Data Science Analyst Resume Examples & Samples
- 3+ years of relevant programming or data analytic experience
- 3+ years of SAS Enterprise experience
- Proficient with Big Data / ETL processes
- Previous experience with Java, Python, Hive, Cassandra, Pig, MySQL or NoSQL or similar
- Demonstrates proficiency in several areas of data modeling, machine learning algorithms, statistical analysis, data engineering and data visualization
16
Data Science Analyst Resume Examples & Samples
- 3 years of relevant programming or data analytic experience
- Proficient with machine learning and predictive models
- Knowledge of Big Data such as; R , Python, Hadoop or SAS is required
- 3+ years of SQL experience with data queries, flat files
- Demonstrates professional written and verbal communication skills
17
Data Science Analyst Resume Examples & Samples
- 2 - 5 years related work experience
- SAS or SQL programming skills; able to perform queries
- Must have technical skills to work with metadata tags, analytics, and tools
- Experience with digital content management systems and defining taxonomies a plus
- Able to work in a fast-paced, highly collaborative environment
- Demonstrates strong written and verbal communication skills
18
Data Science Analyst Resume Examples & Samples
- 2+ years of practical analytic experience within healthcare environment
- Strong knowledge of Tableau Desktop required
- Experience with Tableau Server is a plus
- SQL experience
- Demonstrated analytical and problem-solving skills
- Demonstrated written and verbal communication skills. Able to present to various audiences
- Create and write training materials for visualizations
19
Real World Data Science Analyst Resume Examples & Samples
- Lead, develop and execute high quality RWD analytics solutions using appropriate analysis methodologies, tools and best practices to enable successful development and commercialization of molecules
- Collaborate closely with assigned RWD scientists to understand and meet teams needs and propose RWD solutions to close potential evidence gaps
- Responsible for leadership and delivery of multiple global projects in parallel. Coordinate resource requirements, oversee contingent/contractor support on assigned projects and regularly communicate project status to management and stakeholders
- Maintain comprehensive knowledge of available RWD sources and analysis methodologies including their potential applications. Act as a subject matter expert for applicable RWD sources and analysis methodologies
- Build and maintain strong collaborative relationships and effective partnerships with molecule teams as well as internal communities, working groups, initiatives and other stakeholders
- Take a lead role on aspects of technical infrastructure or functional excellence initiatives
20
Data Science Analyst Resume Examples & Samples
- 3+ years of relevant programming or analytic experience
- 3+ years of practical experience with ETL tools and Big Data (Hadoop, Hive, Python, R)
- Experience with Shell Scripting languages
- Basic programming experience with Java, JavaScript, C++ or other languages
- Proficient experience with SQL Server
- Able to create reports in R and Tableau
- Able to contribute and participate in team meetings
21
Data Science Analyst Resume Examples & Samples
- Masters or PhD in Computer Science / Mathematics / Statistics
- Understanding of probability, statistics and Machine Learning techniques
- Experience with statistical packages such as R
- Experience with writing queries using relational databases such as SQL
- Experience with plotting / charting libraries such as ggplot, matplotlib, D3
- Excellent problem solving ability and communication skills
- 3+ years of relevant experience.Experience with big data technologies such as Hadoop, MapReduce, Hive and Hbase
- Understanding of Display Advertising domain and eco-system
22
Data Science Analyst Intern Resume Examples & Samples
- Data preparation
- Application development
- Computer Science background desirable
- Gain real-life experience on the use of machine learning techniques to solve business problems
- The student experience we have to offer
- Given the opportunity to volunteer and give back to the community
23
Data Science Analyst Co-op Resume Examples & Samples
- Uni, bi-, multi-variate analysis
- Model development
- Visualization development
- Strong statistics / math background
- Strong Excel based model development
- VBA macros / automation
- Attend events on a monthly basis with guest speakers from various departments within our organization to further develop your skills as a professional
24
Data Science Analyst Resume Examples & Samples
- 3-5 years of professional work experience with a reputed analytics firm in the field of business intelligence and/or Advanced Analytics
- Graduate/Post-graduate degree in: Statistics/Economics/Econometrics/Computer Science/Engineering/Mathematics/MBA (with a strong quantitative background)
- Industry experience in Financial Services/Telecom/Retail a plus
- Excellent analytical and problem-solving, including the ability to disaggregate issues, identify root causes and recommend solutions
- Adept in forecasting, regression analysis and segmentation work
- Understanding of Modeling techniques and specifically logistic regression, linear regression, cluster analysis, CHAID, market basket analysis, etc
- Statistical programming software experience in SAS, R or equivalent. SQL and VBA are also preferred
- Good written and verbal communication skills; understanding of both written and spoken English
- Ability to act autonomously, bringing structure and organization to work
- Sound problem-solving skills
- Creative and action-oriented mindset
- Ability to work under pressure and deliver on tight deadlines
25
Data Science Analyst Resume Examples & Samples
- Master’s degree in a quantitative field (Econometrics, Computer Science, Business Administration, Quantitative Marketing) with a specific emphasis on statistics/(big) data mining/supply chain etc
- 0 to 2 years of hands on experience in analysing data through statistical modelling and machine learning to tackle business questions related to marketing and/or supply chain
- Sharp analytical capabilities combined with the ability to develop and transform concepts into pragmatic and innovative solutions
- Effective communication in Dutch/French and English
- Knowledge of cloud-based solutions such as Azure, Cortana, Amazon ML, etc
- Cross-industry experience highly appreciated
- Previous consulting experience highly desired
26
Data Science Analyst Resume Examples & Samples
- Aspire to take on responsibilities, challenges and rewards typically demonstrated by senior leadership
- Bachelor’s degree in a relevant field (Information Management, Information Technology, Computer Engineering, Management Information Systems, Computer Science, Software Engineering / Development, Biostatistics or equivalent)
- Professional experience in the field of data and analytics, preferably with a large global organization
- Experience in statistics, computer science, R, Python, MATLAB, or other computational programming language preferred
- Ability to conduct usability research studies
- Ability to socialize concepts and ideas to extended stakeholders
27
Data Science Analyst Resume Examples & Samples
- 2 years of relevant programming and marketing data analytic experience
- Experience with data technologies such as Python and R
- Strong organizational skills; excellent analytical and problem solving skills
28
Data Science Analyst Resume Examples & Samples
- Day to day support of internally-developed processes, with a specific focus on data analysis. This includes but is not limited to data exploration, data collection, data cleaning, model building, and result presentation
- Aid in the design of various experiments, formulation and discovery of various hypotheses, as well as the training and scoring of existing and potential models
- Interact directly with business partners for requirements gathering and QA testing efforts
- Prepare white papers on research, model and methodology documentation, as well as ad hoc analysis and write ups
- Adhere to, and enforce development standards across the team
- Experience working with R, Python, and C# (at minimum R or Python)
- Experience working with Big Data as well as basic Machine Learning (academic or practical)
- Excellent written and communication skills to report on findings in a clear and structured manner
- Bachelor’s Degree with a focus on data science, statistics, mathematics, and/or computer science
- Development \ support of internally-developed applications
- Development with Microsoft SQL Server 2008 R2 or later, specifically TSQL for MS Management Studio
- Experience working in environments that require strict adherence to change control policies
- Good time-management, problem solving, organization, and analytical skills
- Experience working in a fast-paced development environment
29
Data Science Analyst Resume Examples & Samples
- Responsible for data delivery from both internal and external sources; interface with data experts & data sourcing resources
- Manipulate large “Big Data” stores (like Hadoop, Hive, Mahoot and a wide range of emerging Big Data technology)
- Knowledge of Data Science techniques including, but not limited to: Data Stitching, EDA, Univariate and Bivariate Analysis, Hypothesis testing, ANOVA, Model Strength, Model Accuracy, Segmentation, Clustering, K-Means, Nearest Neighbors, Decision Trees, Principal Component Analysis, Variable reduction techniques, Modeling (Regression - GLM, Poisson, Logistic), Bayesian statistics, Forecasting and Time Series, State Space Modeling, Anomaly Detection, Boosting and Bagging, Bias Corrections, Predicting rare events, ROC, Lift, Churn Modeling, Survival Analysis, SVM, Text Mining, Similarity and Severity Models
30
Clinical Data Science Analyst Resume Examples & Samples
- Bachelors degree and 1 years experience in an advanced mathematical, statistical, engineering, physics or related quantitative field; OR Masters degree in an advanced mathematical, statistical, engineering, physics or related quantitative field without experience; or 6 years experience in an advanced mathematical, statistical, engineering, physics or related quantitative field
- Requires knowledge and experience in own function; still acquiring higher level knowledge and skills
- Builds own knowledge of HCSC, business processes and customers
- Solves a range of problems
- Analyzes possible solutions using standard procedures
- Receives a moderate level of guidance and direction
- Knowledge of SAS, SQL and/or Teradata or other statistical tools/languages
31
Data Science Analyst Resume Examples & Samples
- Identifying Innovative approaches to using data in support of business growth
- Collaborating with other technical and business teams to identify opportunities and deliver decision support solutions based on innovative, programmatic and scientific uses of data
- Researching data sources in support of business questions which lend themselves to a scientific, evidence-based approach
- Identifying where data science and an algorithmic approach will deliver value as part of other solutions
- Ensuring delivery of identified solutions using partners and/or internal Disney resources
- Ensuring effective support of the provided solutions is put in place
- Folding the above into the IT strategy, both medium and long term
- Working with the IT delivery teams to ensure effective resource planning in the delivery and support of solutions
- Proven Mathematical competence, especially in Statistics
- A scientific background which demonstrates critical thinking, experiment design and results analysis
- Some experience of working with data, especially in applying scientific thinking to data-sets to extract insights based on evidence
32
Senior Data Science Analyst Resume Examples & Samples
- Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement
- Interacts with product and service teams to identify questions and issues for data analysis and experiments
- Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources
- Identifies meaningful insights from large data and metadata sources
- Interprets and communicates insights and findings from analysis and experiments to product, service and business managers
- As a seasoned, experienced professional with a full understanding of area of specialization, he/she resolves a wide range of issues in creative ways
- Ability to draw on past experience and current data to influence business partners and provide insightful analytics
- Works on problems of diverse scope where analysis of data requires evaluation of identifiable factors
- Demonstrates good judgment in selecting methods and techniques for obtaining solutions
- Networks with senior internal and external personnel in own area of expertise
- Higher level of data analysis skills and knowledge M&A
- Ability to leverage Excel and other systems to perform complex financial modeling
- Ability to work in cross-functional teams and work more independently
- Ability to perform onsite due diligence of potential acquisition targets
- Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience
- Advanced degree in Finance or relevant experience in M&A and/or corporate finance/competitive analysis
33
Senior Data Science Analyst Resume Examples & Samples
- Has shown an intellectual curiosity and a passion for digital analytics
- Has questioned the norms and elevated the value or process behind their work
- Has experience performing analyses on large data sets, interpreting data and generating insights
- Has executed projects with strong output and little oversight
- Has developed strong relationships with internal and external audiences
- Has exhibited strong communication skills when explaining complex concepts
- Has demonstrated expertise with tools such as: SQL, SAS (or Stata), web analytics tools, survey design, etc
34
Data Science Analyst, Senior Resume Examples & Samples
- Experience with performing quantitative and qualitative analysis and methodology development
- Experience in performing functional analyses of organizations, mission effectiveness, or business processes
- Knowledge of statistical and operations research methods and tools
- Ability to present complex issues in written and graphical forms
35
Data Science Analyst Resume Examples & Samples
- Bachelor’s degree in quantitative with 3 plus years of relevant experience
- Advanced analytical and problem solving and research skills
- Superb problem solving and critical thinking skills. Ability to work independently or as part of a group
- Effective communication skills for writing reports/proposals and making presentations
- Proficient with Spreadsheets, PowerPoint and database software
- Advanced experience in VBA, SQL, R, SAS or other scripting language
- Experience in working with data transformation and data manipulation
- Ability to work in a fast paced, test-driven, collaborative and iterative environment
- Financial services industry experience desired
36
Data Science Analyst Resume Examples & Samples
- Data Model Management – Set up experimental designs to answer business questions and opportunities. Determine and execute data refresh cadence in alignment with organizational strategies. Continuously measure model effectiveness and performance against business KPIs. Regularly conduct data validations to ensure models remain relevant
- Predictive analytics - Test business hypotheses across various departments to construct predictive models. Work in cross functional team to identify new hypotheses. Test sensitivity/impact of current and proposed business initiatives on various customer segments
- Reporting/Analysis – Develop and publish reporting and analytics as a result of tested hypotheses and provide user-friendly outputs for various departments (e.g., Sales, Marketing, and Executive leadership). Design reporting to provide insight into customer segments, campaign effectiveness, business initiatives, and the relationships
- Business Management – Participate in various business improvement activities and deep-dive initiatives adding insight where predictive analytics are required to forecast impact/results. Develop partnership with Information Systems to gain insight into upcoming data changes or new data availability
- Data Quality - Execute different data analytics (joins, audits, correlation, etc.) to ensure the completeness, quality, and consistency of data used for analytics across systems. Works across departments to understand inputs and ensure reliability while providing feedback/recommendations to improve quality
- Performs other related duties as required or requested
37
Engineering Data Science Analyst Resume Examples & Samples
- 3 years of relevant programming or analytic experience
- Ability to work with large data sets from multiple data sources
- Demonstrates proficiency in several areas of data engineering
- Experience big data technologies such as Python, R, Hadoop, and Hive
- Demonstrates good written and verbal communication skills
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Data Science Analyst Resume Examples & Samples
- Analyzes data requests using information technology, enrollment, claims, pharmacy, clinical, contract, medical management, financial, administrative and other corporate data from both modeled and disparate internal and external sources
- Works with departmental staff to identify requirements for reporting and / or business intelligence tools
- Identifies necessary data, data sources and methodologies
- Collects, organizes, integrates, analyzes and interprets data
- Leverages advanced statistical analysis methods to create insightful recommendations and conclusions that may be communicated to the stakeholder
- Identifies and addresses expected and unforeseen data complexities to mitigate their impact on the analytic outcome and associated business decisions. Works to improve data quality where possible within created analytical models. Feeds data quality issues back to IT or identified data stewards to facilitate creation of high quality metrics
- Develops and may present reports, analyses and findings to senior management and others as scheduled or requested
- Responsible for one or more of the following stakeholder groups
- Contracting and Commercialization – May assist in the modeling and forecasting contract scenarios, measuring ongoing performance and identify trends in performance to inform our clinical or contracting staff to improve contract outcomes
- Care Management – Helps to identify, understand and prioritize at-risk members in need of care management. Helps stratify our membership to optimally use resources to focus on the patients most in need, currently or in the future
- Medical Directors – Helps to identify utilization trends and variations across the different categories of health care services to assist the Medical Directors to focus their efforts to maximize contract performance and clinical effectiveness
- Quality and Documentation – Helps to link payer quality and documentation opportunities into operational analytic processes to maximize our quality scores, top line revenue and optimize the use of resources in concert with MS Health System contracts
- I.T. / High Performance Computing in any ongoing projects
- Takes a proactive role as liaison/analyst for internal stakeholders, understands their needs and translates them into reporting and analytic solutions
- Effectively communicates with stakeholders and customers and ensures all requests are properly triaged, recorded and tracked
- Adheres to corporate standards for performance metrics, data collection, data integrity, query design, and reporting format to ensure high quality, meaningful analytic output
- Helps identify and understand data from internal and external sources for competitive, scenario and performance analyses, and financial modeling to gain member/provider insight into new and existing processes and business opportunities
- Works closely with IT on the ongoing improvement of Mount Sinai’s integrated data warehouse, driven by strategic and business needs, and designed to ensure data and reporting consistency throughout the organization
- Develops and maintains project work plans, including critical tasks, milestones, timelines, interdependencies and contingencies. Tracks and reports progress. Keeps stakeholders apprised of project status and implications for completion
- Provides technical support to data analytics functions as they relate to varied business units, and technical expertise on the selection, development and implementation of various reporting and BI tools tied to business unit reporting requirements. Creates new BI reports and interactive dashboards as required
- Prepares clear, well-organized project-specific documentation, including, at a minimum, analytic methods used, key decision points and caveats, with sufficient detail to support comprehension and replication
- Ensures customers are adequately trained to use self-service BI tools and dashboards
- Mentors level I Analysts, and teaches others within the organization on how to a) define meaningful process and performance measures, b) develop BI queries, and c) generate and use management reports effectively
- Shares development and process knowledge with other analysts in order to assure redundancy and continuously builds a core of analytical strength within the organization
- Demonstrates advanced level proficiency with the principles and methodologies of process improvement. Applies these in the execution of responsibilities in support of a process focused approach
- 5 years minimum in analytics development expertise, preferably in health care, or for a health provider, health plan or accountable care organization, including either
- Working knowledge of a health care EMR such as Epic/Clarity, aCW, etc.; a payor claims system such as Facets, Amisys, etc.; or a hospital/provider system such as IDX, Soarian, etc
- Knowledge of the New York State Medicaid and CMS Medicare regulations and related reporting requirements, such as STARS,QARR, MMCOR, MEDS, RAPS
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Senior Data Science Analyst, Search Quality Resume Examples & Samples
- Be the company-wide search data analysis expert, identifying the patterns within the volumes of data available in Search logs, creating actionable intelligence from these. Present your findings and recommendations to leaders in regular business reviews on unique customer problems this intelligence will identify
- Define and refine our analytical approach and metrics strategy, on how we track the performance of search over time and how these metrics vary by user/customer segments. These metrics will cover individual customer search features, user/query/corpus growth projections and search relevance and algorithms performance
- Devise a customer segmentation strategy to understand performance of Search product across various axes of relevance, performance, product usage and functionality
- Design and analyze results of A/B tests across the search product spectrum
- Influence the product roadmap that impacts millions of users across hundreds of thousands of customers every day. Work hand in hand with product management, search relevance and infrastructure teams to conduct deep analysis on specific functional areas such as query reformulation, user session analysis, understanding empty and no-click search result underpinnings to name a few
- MS/PhD in Engineering, Mathematics, Economics, Statistics, Physics, OR, Finance or related quantitative fields
- 6+ years of relevant experience in data analyst role, including data warehousing and Business Intelligence tools, techniques and technology
- Extensive experience in drawing insights from large volumes of data and clearly communicating them to the stakeholders and senior management
- Strong data visualization skills to communicate data patterns visually and build a corresponding narrative on the findings
- Excellent knowledge of SQL (Oracle, MySQL, or PostgreSQL), working command on scripting languages like Perl/Python. Knowledge of Hive/PIG and the Hadoop ecosystem is a plus
- Previous experience with statistical or econometric modeling using Matlab/R, Python, etc. is a huge plus
- Understanding of A/B testing, expertise in metric definition and analysis
- Strong presentation skills
- Thoughtful collaborator with a good sense of humor
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Data Science Analyst Resume Examples & Samples
- Strong SQL programming skills and experience with SAS programming
- Experience with big data technologies such as Hadoop, Hive, Tableau
- Demonstrates proficiency in several areas of data modeling, statistical analysis, data engineering and data visualization
- Demonstrates good written and verbal communication skills. Able to present information to various audiences
- Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Engineering, or related discipline
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Machine Learning & Data Science Analyst Resume Examples & Samples
- Regularly engage with business teams to understand their needs and imperatives and operationalize a framework for deploying Machine Learning models
- Prototype and simulate use cases for Machine learning basis the GSN operating environment and ability to operationalize into workable algorithms & solutions
- Rigorous testing of algorithms as per business norms and delivering significant working leverage over status quo and generate value for the business
- Deploy models in production environment and regular maintenance of production variables like Lift, Support, Confidence and continuous bootstrapping of sample cases for revalidation of results
- Capability of writing, debugging and compiling codes in multiple Machine Learning environment and not limited to Python/Pyspark, Apache Spark, R Spark etc
- Complete grip on Python environment and libraries (scikit, nltk, pandas and numpy). Working knowledge of R & Spark is a plus
- Proven experience of solving complex business problems using Machine Learning techniques like Regression, Classification, Supervized or Unsupervized Recommenders, Deep iterative learning, Neural Nets etc
- Deep knowledge of Statistics and Maths and ability to dissect problems from the first principle. Exposure to fields like Linear Algebra, Bayesian Statistics, Group theory is desirable
- Experience of working in Distributed/Cluster computing environment is desirable
- Ability to work in cross functional teams
- Excellent data presentation and visualization skills
- Hands on knowledge of SQL/ Hive QL is desirable
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Data Science Analyst / Senior Analyst Resume Examples & Samples
- Develop predictive models to answer different business problems by using statistical software such as SAS, R etc
- Prepare and manipulate data using statistical software such as SAS, SQL, etc
- Utilize quantitative skills to analyze and summarize data, formulate findings and provide recommendations
- Provide recommendations on the appropriate tools and techniques to perform analysis; enable the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes
- Lead work streams of moderate complexity projects with members within and outside team
- Provide thorough and clear documentation of work stream deliverables
- Collaborate with other groups to develop and maintain best practices and standards, including peer reviewing
- Research and propose new statistical and mathematical techniques that are suitable and helpful for solving business related problems
- Bachelor's degree in business, economics or related quantitative field
- Master's Degree preferred; advanced education may be substituted for years of experience (i.e Ph.D. with limited professional experience)
- Advanced proficiency in Excel, PowerPoint, and statistical software packages (e.g., SAS, Emblem, R)
- Demonstrated understanding of advanced techniques in statistics and predictive analytics through prior experience
- Strong business acumen and communication skills, as well as ability to effectively present technical concepts to non-technical individuals
- Ability to foster and encourage teamwork and productive working relationships with stakeholders at all levels and across organizational lines
- Proven ability to quickly grasp new concepts and technologies and adapt to changes and demands in fast-paced, dynamic environment
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Data Science Analyst Resume Examples & Samples
- Experience working in a data warehouse environment as well as the ability to work with large data sets from multiple data sources
- Strong SQL and SAS programming skills (e.g., SAS Base, SAS STAT, SAS Macros)
- Must possess strong Excel and Access skills
- Tableau preferred
- Healthcare sales and marketing reporting experience preferred
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Data Science Analyst Resume Examples & Samples
- Design and test predictive models to inform business decisions
- Provide expertise in mathematical concepts supporting the development of analytical models
- Collaborate with a multidisciplinary team of data stewards, IT analysts, model validation analysts, business analysts and senior managers
- Document the processes and procedures utilized to create datasets; build and test analytical models
- Clearly communicate rationale and findings in easy to understand terms
- Design experiments, test hypotheses and build models to improve performance and manage risk
- Work closely with business analysts and senior managers to identify business requirements and explain expected outcomes
- Model business scenarios that impact critical business processes and/or decisions
- Integrate and prepare large datasets
- Collaborate with the data governance team to ensure that data use follows compliance, information security and control policies
- Provide business metrics to help monitor the performance of ongoing business functions
- Bachelor’s degree in applied mathematics, accounting, finance or computer science
- 1-3 years of experience in programming and manipulating large data sets, preferably within the banking industry
- Ability to clearly communicate and organize complex financial information
- Advanced SAS or R data modeling skills
- Advanced SQL and Visual Basic programming skills
- Advanced Microsoft Excel, PowerPoint and Access development skills
- Experience with Tableau, Python and Hadoop environments is helpful
- Knowledge of accounting and financial standards
- Flexible and able to adapt to on-going change
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Senior Data Science Analyst Resume Examples & Samples
- Mines large data sets using statistical analytical techniques and tools to generate insights and inform business decisions
- Identifies and tests hypotheses as part of identifying opportunities to improve customer experience
- Collaborate with analytical peers and counterparts across the organization to stay on top of overarching trends and Analytics best practices
- Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and 0-2 years of relevant experience, a Master’s degree (scientific field of study) and 1-4 years of relevant experience or may be acquired through a Bachelor’s degree (scientific field of study) and 3+ years of relevant experience
- Knowledge of statistical analysis environments, such as, R, SPSS or SAS
- Experience with BI tools, such as Tableau or Microstrategy
- Familiarity with SQL and/or Python
- Ability to quickly grasp new concepts and technologies and adapt to changes and demands in fast-paced, dynamic environment
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Data Science Analyst, Retail Analytics Resume Examples & Samples
- Support Development of Advanced Analytics practice: In cooperation with Data Science Director, develop best in class advanced analytics practices for VF and drive analytic culture both corporately and within the brands
- Brand Consulting: Perform ongoing analytic projects in support of brand strategies and tactics. Topics will include, but not limited to direct marketing optimization, incorporation of unstructured information, sales attribution, ROI analysis etc
- Support BI Reporting: In collaboration with brand and DTC leadership, support the development of BI dashboard to highlight KPI across brands, locations and channels. Work will include multi-source data integration and development in BI tool (Cognos, Tableau)
- Tool Assessment:Develop and deploy analytical tools and data science techniques to analyze complex data sets. Monitor trends in data science and alternative sources to ensure that VF Corporation is in tune with best in class tools and techniques
- 3+ years of experience in market research/insights/analytics, competitive intelligence or other similar function with demonstrated ability to manage function in a complex environment with multiple constituencies
- 3+ years of experience with statistical and predictive modeling in open-source software, such as, R or Python and at least basic familiarity with SAS®, Matlab®, or Stata®
- BA/BS required; master’s degree in a quantitative field (statistics, operations research, mathematics, computer science, economics, analytics) from an accredited university is highly desirable
- Passion for working with numbers and large datasets
- Highly analytical, self-motivated and desire for continuous learning in job-related subject matter
- Expertise in statistical modeling and analytical methodology including, regression, classification, clustering, time-series analysis etc
- Strong understanding of retail and apparel best practices and trends
- Ability to influence and work through others to effectively navigate matrixed organization while ensuring that necessary stakeholders are informed
- Strong communication skills that is able to educate and influence management and senior leaders to act in a desired manner through written and verbal communication
- Ability to simplify highly complex analyses and output into terms that are easily accessible and impactful in both written and verbal formats
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Data Science Analyst, Customer Advocacy Resume Examples & Samples
- Gains experience in enabling the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes
- Assists in customizing analytic solutions to specific client needs
- Responsible for smaller components of projects of moderate-to-high complexity
- Candidate displays intellectual curiosity, problem-solving skills, and motivation to work towards becoming a thought leader in areas of responsibility
- Comfortable with data extraction & basic manipulation from difference databases such as SAS, SQL, Teradata
- Familiar or experience with predictive modeling, linear regression, outlier detection, or A/B testing
- Familiar with one or more of the following languages: SAS, R, Python, SQL
- Demonstrated ability to exchange ideas and convey complex information clearly and concisely
- Has a value-driven perspective with regard to understanding of work context and impact
- Competencies typically acquired through a Master’s degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and 0-2 years of relevant experience, or a Bachelor’s degree (quantiative field of study) and 3+ years of relevant experience
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Mgen Bioinformatics Data Science Analyst Resume Examples & Samples
- Professional with analytical mind and solid knowledge in genomics and genetics data analysis
- Great team player with positive and "can do" attitude
- Passion for science and oncology
- Highly organized and able to handle multiple internal/external projects at a time
- Serve as the ORIEN members "go to" person for questions related to ORIEN Avatar data and Informatics portal
- Utilize, demonstrate and develop analytics and visualization tools like Qlikview to query, analyze and interpret ORIEN Avatar genetic and genomic data, clinical data
- Perform queries and custom analyses to support basic and clinical researchers at ORIEN member cancer centers or pharma sponsors
- Educate researchers on use of the ORIEN Avatar platform to address their own questions
- Collect feedback about the informatics portal and work with the development team on continued product development
- Perform data QA/QC using Avatar informatics portal
- Perform NGS related data analysis to support M2Gen/ORIEN projects
- Master's or PhD in Bioinformatics (or related discipline)
- 3+ years of experience of genomic/genetic data analysis in research environment
- Solid background in mathematics, statistics, programing and/or cancer genomics
- Knowledge in NGS data and pipeline analysis
- Experience with BI tools like Qlik
- Experience in data analysis and data interpretation
- Good verbal and writing communication skills
- Experience with analysis packages like R, Rstudio
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Data Science Analyst Resume Examples & Samples
- Identify, extract, manipulate, analyze and summarize data to deliver insights to business stakeholders
- Source data can consist of medical and pharmacy claims, program activity and participation data, as well as demographic, census, biometric, marketing and health risk assessment data
- Perform Model Governance duties such as maintaining a library of Predictive Models and monitoring the model accuracy and performance of these models. And other required model governance activities
