Data Scientist, Big Data Resume Samples

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CO
C O'Kon
Corrine
O'Kon
83569 Denesik Port
San Francisco
CA
+1 (555) 385 5822
83569 Denesik Port
San Francisco
CA
Phone
p +1 (555) 385 5822
Experience Experience
Dallas, TX
Big Data Scientist
Dallas, TX
Cole-Champlin
Dallas, TX
Big Data Scientist
  • Define statistical and modeling techniques and assumptions
  • Develop features and derived data
  • Build analytics models and assess models
  • Design test and evaluate models and results
  • Communicate findings to business sponsors and IT leaders
  • Partner with business stakeholders to develop a research/insights plan
  • Seek out opportunities to proactively provide business with critical information and insights
Phoenix, AZ
Senior Data Scientist, Big Data
Phoenix, AZ
Gorczany, Waelchi and Breitenberg
Phoenix, AZ
Senior Data Scientist, Big Data
  • Collaborate with marketing/business development teams in scoping out new opportunities
  • Design problem solve pipeline for practical projects, select proper technology, make plans and supervise execution
  • Oversees technology innovation and reach out for business opportunities
  • Present proposals and results to our business customers
  • Collaborate with customers to design best data analytics solutions for various business problems
  • Expertise in machine learning, graph analytics and text mining techniques, such as classification, regression, clustering, feature engineering, label propagation, PageRank, information extraction, topic modeling etc
  • Expert knowledge of data structures and algorithms
present
Dallas, TX
Principal Big Data Scientist
Dallas, TX
Nitzsche, Wyman and Lesch
present
Dallas, TX
Principal Big Data Scientist
present
  • Perform analysis, concept implementation, and creates detailed methodology descriptions for data research activities
  • Continuously monitor industry trends in the data science domain and apply them to create innovative solutions
  • Explore content viewership data using tools such as Pig, Hive, R, Python to create insights that the business can use
  • Use data mining techniques to reveal patterns in the data that have implications on the business decisions
  • Be adept at translating the meaning and significance of the insights
  • Use machine learning techniques to build learning models that allow the organization to predict outcomes with business implications
  • Collaborate with other experts to constantly innovate
Education Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
The George Washington University
Bachelor’s Degree in Computer Science
Skills Skills
  • Ability to perform detailed analysis of business problems and technical environments and use this in designing the solution
  • Strong proficiency in Big Data tools and their configuration & setup
  • Strong collaboration skills and ability to thrive in a fast-paced environment
  • Capability for quick prototyping
  • Strong proficiency in parallel computing & distributed algorithms (e.g. Map-Reduce, CUDA, GPU)
  • Strong proficiency in R, Knime, Hadoop and Spark
  • Proven knowledge of Deep Learning/Machine Learning toolkits
  • Knowledge of Optimization & Control Theory
  • You have a strong analytics and predictive analytics experience
  • Excellent interpersonal skills and a can-do attitude
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7 Data Scientist, Big Data resume templates

1

Big Data Scientist Resume Examples & Samples

  • Work with business to define business problem, data required, and success criteria
  • Define statistical and modeling techniques and assumptions
  • Define algorithms and coding requirements
  • Develop features and derived data
  • Build analytics models and assess models
  • Design test and evaluate models and results
  • Communicate findings to business sponsors and IT leaders
  • 1+ years hands-on experience with data analytic technologies like Greenplum, SAS, Big Insights, R, MADlib or other statistical tools
  • 1+ Experience building predictive models using structured and unstructured data
  • Ability to understand and draw conclusions from underlying datasets resulting in recommendations of future actions
  • Excellent quantitative and analytical problem solving skills
  • Strong work ethic, self-starter who is creative with a 'can-do' attitude
  • Fluent in at least one major scripting language like Perl, Python or shell scripting
  • Quick learner with strong attention to detail
  • Team player exhibiting professional maturity, personal integrity, and excellent interpersonal skills
  • Appetite and drive for innovation
  • Undergraduate or advanced degree in computer Science, Statistics, Math, Engineering or another quantitative discipline
2

Big Data Scientist Resume Examples & Samples

  • Build a deep understanding of business group priorities and drivers as a means to provide action-oriented insights and recommendations
  • Partner with business stakeholders to develop a research/insights plan
  • Develop business relationships for both the commercial and consumer businesses to deliver actionable business insights
  • Seek out opportunities to proactively provide business with critical information and insights
  • Participate and drive the innovation process with customer insights
  • Create algorithms to extract information from large data sets
  • Provide thought-leadership and dependable execution on diverse projects
  • Identify emergent trend and opportunities for future client growth and development
  • Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can be used to for taking business decisions
  • Collaborate with others in the organization to develop new ideas and brainstorm potential solutions
  • 3+ years’ experience
  • Experience in services business
  • Produce and maintain logical and physical data models for complex databases and projects
  • Provides advice to business and technical personnel on data analysis principles, methods and trends
  • Designs complex Data Transformation Strategies for Business Intelligence or Data Migration
  • Background in statistical concepts and calculations
  • Proficiency with statistical analysis tools (e.g. R, SAS, SPSS)
  • Extensive experience solving analytical problems using quantitative approaches (e.g. Bayesian Analysis, Reduced Dimensional, Data Representations, and Multi-scale Feature Identification)
  • Hands-on experience with a wide variety of predictive modeling, machine learning, data mining, statistical, text mining, and optimization algorithms
  • Expert at data visualization and presentation
  • Experience with big data tools (e.g., Hadoop, Autonomy, Vertica, Haven)
  • Excellent critical thinking skills, combined with the ability to present findings clearly and compellingly verbally and in written form
  • Translates technical details, observations and results into business language
  • Can work both independently and collaboratively
3

Big Data Scientist Resume Examples & Samples

  • Strong background in statistical concepts and calculations
  • 5+ years’ experience with real data
  • Extensive experience solving analytical problems using quantitative approaches (e.g. Bayesian Analysis, Reduced Dimensional Data Representations, and Multi-scale Feature Identification)
4

Big Data Scientist Resume Examples & Samples

  • Collaborate with IT, operation and business teams in implementing text analytics in ongoing business processes
  • Master’s Degree in Computer Science, Informatics, Statistics or a related field
  • 2-4 years’ Experience working with very large and unstructured data
  • Experience with large data sets and/or the analysis of unstructured healthcare data
  • Experiences with data mining, machine learning and predictive modeling techniques, and their applications
5

Big Data Research Scientist Resume Examples & Samples

  • Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics or related field
  • Work experience or strong academic background with statistics, predictive modeling, machine learning, and/or text mining
  • 2+ years software development or programming experience with python or SAS
  • Highly self-motivated, results oriented, and capable of independent and critical thinking and problem solving
  • Master’s degree in Engineering, Computer Science, Mathematics, Statistics or related field
  • Familiarity with healthcare data (pharmacy or medical claims) a plus
  • Experience in healthcare data such as pharmacy and medical claims or electronic medical records (EMR)
  • Experience as a business analyst with requirements gathering experience and familiarity with project management practices
  • Project management experience is a plus
6

Data Scientist / Big Data / Machine Learning Resume Examples & Samples

  • Hands-on experience in Big Data application development using Hadoop, Spark, map-reduce etc
  • Hands on experience in application development using full Java stack, message queues and supporting technologies including javascript
  • Innovation/Product Development: experience in ideation and product development using machine learning/data science applied to real world problems
  • Working experience in the financial industry (specifically in financial markets or quantitative research) or top tier institution in other industry’s
  • Strong project management skills – the ability to manage multiple projects and prioritize work requirements within a multi-disciplinary team setting
  • Desire to learn, desire to grow expertise in product management, re-tool when necessary and work in a team
7

HR Big Data Scientist Resume Examples & Samples

  • Ideally your background is a combination of statistics, mathematics, and/or computer science
  • You have advanced knowledge of Microsoft Excel, MySQL and XML for reporting and database management
  • You are the user of out of the shelf statistical software tools
  • You are comfortable in an international, matrix organization
  • You have a feel for business issues and empathy for customers
8

Big Data Scientist Resume Examples & Samples

  • Analyze the problem domains of Big Data within RCS (Rail Control Solutions Division) specifically related to Infrastructure Management
  • Define solutions to solve the data processing and analysis. This involves investigation of ongoing product development. It also involves investigation of external solutions which would best fit the problem domain
  • Perform analysis of customer data and define effective predictive maintenance algorithms to exploit the data
  • Work with the Solution Managers and the development teams especially the MDC (Maintenance Diagnostic Centre) team to define which parts of the problem domain should be solved within the MDC product and which parts would be better solved with other tools
  • Work with the development teams to solve issues related to handling of large mass of data in terms of performance parameters, such as storage, analysis and response times
  • Minimum relevant Bachelors in Engineering or Finance equivalent
  • Good English skills both spoken and written
  • Minimum 1 year relevant professional experience required
  • Knowledge and experience of Big Data layers like Data, Analysis, Integration and Decision
  • Knowledge of techniques and solutions like Hadoop, MapReduce, Hive, Pig, Spark, Drill, Dremel, Flume, Storm, Statistical programming using R
9

Big Data Scientist Resume Examples & Samples

  • Data Analytics: 50%, Data transformation and visualization: 30%, Data Architecture: 20%
  • Gather, structure and operate complex data inputs from multiple Big Data sources, both internally and externally
  • Perform predictive analytics and financial modeling to make coverage investment decisions
  • Perform ad hoc data mining and statistical analyses on coverage related complex business problems
  • Develop and run data queries from various (reporting) tools to gain insight on coverage and distribution risks
  • Own & Manage big data and analytics platform for team (IT teams will build them)
  • Work with Business & Engineering resources to define analytics and platform requirements and translate to technical requirements
  • Bachelor’s Degree in Data Science, Statistics, Computer Science, Math, or similar quantitative field, Master’s degree strongly preferred
  • 1-4 years of professional experience statistical analysis, predictive modeling, time series analysis, and/or customer segmentation
  • Experience with Spark and/or other big data analytics solutions
  • Understanding of large data warehouse architectures, cluster and parallel processing architectures platforms
  • Experience working in AWS cloud environment, EMR, S3, Spark, Hadoop, Hive
  • Experience with data analysis tools including Tableau, R etc
  • Experience managing Big Data architectures including applying Hadoop, Hive and other/similar technologies
  • Demonstrates excellent written and verbal communication skills
  • Proven ability to work with leadership/business to translate Big Data to insights & recommendation
  • Ability to perform detailed analysis of business problems and technical environments and use this in designing the solution
  • Can work creatively and analytically in a problem-solving environment
10

Big Data Scientist, Sales Consulting Resume Examples & Samples

  • Big Data and Data Science domain expert working alongside local teams responsible for presales work on strategic sales cycles (qualification, understanding of customer requirements, preparation, presentation and end-to-end demonstration of our solutions)
  • Leader and evangelist for the Big Data Analytics solutions to educate colleagues on the benefits and selling points for our solutions
  • Creation of outstanding sales and demonstration assets targeted to address specific business requirements associated with each sales cycle
  • Collaborative working XLOB with colleagues across multiple teams to devise the optimal proposition for the customer
  • Travel throughout EMEA to support customer situations as needed
  • MS or PhD in Computer Science, Statistics, Physics, Engineering or another quantitative field
  • At least 3 years of experience working in Customer or Consulting company with Big Data Analytics and strong knowledge of Hadoop and Spark ecosystem technologies, plus coding with data science tools such as R, Python, MLib, etc
  • Deep understanding and application of machine learning, AI, and predictive algorithms to solving complex business problems and proven ability for “telling stories with data”
  • Experience of liaison with C-level business people and selling projects within a company
  • Self-motivated with outstanding customer interaction and presentation skills
11

Big Data Developer / Data Scientist Resume Examples & Samples

  • Providing technical leadership and oversight on projects
  • Development and review of big data architecture and cloud environments
  • Developing Proof of Concepts and big data/real-time systems
  • 2+ years of relevant experience and 5+ years overall IT experience
  • Experience administrating big data platforms on cloud environments
  • Experience developing code on distributed environments using Spark
  • Bachelor’s or Advanced degree in Computer Science, Computer Engineering, or other technical discipline
  • Development of algorithms using Scala, Python, Java on ML platforms
  • Excellent communication skills are a must (writing, presenting, etc.)
  • Experience with geospatial data sets
  • Understanding of EPA, USDA, DOI, DOT or DOE data and process
  • SDLC
  • Cloud Computing
12

Principal Big Data Scientist Resume Examples & Samples

  • Use data mining techniques to reveal patterns in the data that have implications on the business decisions
  • Explore content viewership data using tools such as Pig, Hive, R, Python to create insights that the business can use
  • Use machine learning techniques to build learning models that allow the organization to predict outcomes with business implications
  • Continuously monitor industry trends in the data science domain and apply them to create innovative solutions
  • Be adept at translating the meaning and significance of the insights
  • Collaborate with other experts to constantly innovate
  • Expert level competency with scientific data analysis methods, leveraging statistics, data modeling, anomaly and outlier detections, and machine learning methods for classification and deep learning for pattern recognition
  • Strong communication and presentation skills are required to effectively convey relevant insights to teams
  • Perform analysis, concept implementation, and creates detailed methodology descriptions for data research activities
  • Provide documentation and skill mentoring to others
  • Exercise judgement on how to effectively communicate highly technical and complex details through the use of visualization and careful selection of "knowns" vs "hypotheticals"
13

Research Scientist, Big Data Lab Resume Examples & Samples

  • Exploring technologies for the collection, management, and analysis of large amounts of data, as well as applications of big data and advanced analytics related to social infrastructure issues
  • Understanding the possible competitive opportunities and threats arising from new technologies or new business models, characterizing their impact on the business units in Hitachi Group, and proposing possible technical development actions to enhance their platform products and solutions
  • Designing solutions that can address the opportunities or threats mentioned above, and identifying the technical issues to be resolved in creating solutions that are feasible in terms of functionality and performance
  • Prototyping the solutions by developing the necessary software that solves the technical issues and demonstrates the value of the solution to targeted users
  • Preparing and submitting patents on the technical solutions to provide competitive advantage and protect Hitachi’s IP; and, after obtaining appropriate protection, publishing technical results in leading venues to establish Hitachi as a leader in big data and advanced analytics
  • Planning, preparing and executing proof-of-concepts of the solution using the prototype and refining the solution based on external feedback. Necessary partnerships, such as with Cloud Computing service providers, leading edge innovators, subject matter experts, and/joint research with academia or research institutes, should be considered, planned, negotiated, and established in time
  • Once the proof-of-concept has been successful, the next step will be to make a proposal to business units to commercialize the solution, aligned with current and/or future product lines of Hitachi Group companies
  • Master’s or Ph. D degree in Computer Science or related field
  • 1-2 years of experience
14

Think Big Data Scientist Resume Examples & Samples

  • Building statistical models with tools such as R, Python, Spark ML
  • Ability to give both technical presentations
  • 1+ years working in quantitative roles
  • Ability to travel to client sites as required (50% travel expected)
15

Big Data Scientist Resume Examples & Samples

  • Research, design, and implement algorithms that power knowledge inference and online recommendations, based on Deep Learning/machine learning to consume various types of data
  • Explore the untapped potential of big data for design, engineering and analysis tasks and devise revolutionary approaches
  • Apply deep learning techniques to large-scale, real-world problems
  • Candidate must have completed PhD in the field of Big Data Analytics, machine learning/deep learning
  • 5+ years of related experience
  • Degree in Computer Science, Mathematics or Information Technology preferred
  • Must have a strong proficiency in algorithms for data mining, machine learning, and deep learning
  • Strong proficiency in R, Knime, Hadoop and Spark
  • Strong proficiency in parallel computing & distributed algorithms (e.g. Map-Reduce, CUDA, GPU)
  • Capability for quick prototyping
  • Outstanding written and verbal communication skills in English are required
  • You can either have a proven track record of complex Big Data analytics work in industry, or research. For the former, please include your past projects. For the latter, please include your published papers, ideally at CVPR, ICCV, ACL, EMNLP, TACL, ICML or NIPS (publications at AAAI, UAI, , AISTATS, KDD, ICDM, SDM, SC, IPDPS will also be considered)
  • Ability to work with controlled technology in accordance with US export control law required. Siemens may require candidates under consideration for employment opportunities to submit information regarding citizenship status to allow the organization to comply with specific US Export Control laws and regulations. Additional information on the US Export Control laws & regulations can be found on http://www.bis.doc.gov/index.php/policy-guidance/deemed-exports/deemed-exports-faqs?view=category&id=33#subcat34
  • In depth Knowledge in Software development in Java
  • Strong proficiency in Big Data tools and their configuration & setup
  • Proficiency in security and compliance analytics preferred
  • Previous experience or knowledge in the field of probabilistic reasoning, uncertainty quantification, dimensionality reduction, decision trees, and design analysis is preferred
16

Data Scientist, Big Data Resume Examples & Samples

  • Collaborate with customers to design best data analytics solutions for various business problems
  • Design novel machine learning algorithms for predictive modeling and produce data insights
  • Collaborate with marketing/business development teams in scoping out new opportunities
17

Senior Data Scientist, Big Data Resume Examples & Samples

  • Oversees technology innovation and reach out for business opportunities
  • Design problem solve pipeline for practical projects, select proper technology, make plans and supervise execution
  • Present proposals and results to our business customers
18

Think Big Data Scientist Resume Examples & Samples

  • Exploring, manipulating, and creatively visualizing data to find new patterns and signals and to make conclusions “pop out”
  • Experience identifying data sources and assessing/mitigating data quality issues
  • 3+ years working in quantitative roles
19

Think Big Senior Data Scientist Resume Examples & Samples

  • Building robust mathematical models with tools such as R, Weka, MATLAB, SAS, Python, etc
  • Familiarity and experience with dimensionality reduction, feature extraction/determination, high dimensionality analysis, statistical and other types of model robustness analysis techniques
  • Python and/or Linux command line skills
  • Specialized areas of data science such as natural language processing, anomaly detection, model parallelization, time series analysis, statistical matching techniques (e.g., propensity score), model ensembling, to name just a few…
  • Experience solving hard problems across topical domains
  • Professional consulting experience
  • A deep understanding of the scientific method, modeling by experimental design as well modeling of observational studies, including the probability and statistics that enables you to understand model appropriateness, limitations, etc
20

Big Data Scientist Resume Examples & Samples

  • Hands-on technical experience and very literate with specific Internet technology (Data analytics, Big Data, API management)
  • Some experience in Product Management would be ideal
  • 5-7 years experience with IT/Internet companies
  • Software development skills and experience (Java, Scala)
  • Sharp mind, very quick learner
  • Self-starter, and entrepreneurial mind set, and ambition to create new businesses, new products
  • Able to operate within virtual teams
  • Nice to have: Query DSL for ElasticSearch databases
21

Big Data Scientist Resume Examples & Samples

  • You have a strong analytics and predictive analytics experience
  • You are able to analyze and organize large data sets
  • You are a creative thinker with intense intellectual curiosity and innovative approach to solving difficult problems
  • You are an excellent communicator with data storytelling skills and creative in displaying data visually. You are able to communicate effectively with non-technical stakeholders
  • You have advanced knowledge of NoSQL and SQL databases
  • You have strong coding skills in at least one modern scripting languages (Python, R)
  • You are a user of open source data analytics and visualization libraries
  • You have at least basic web development experience (including building and connecting to web services)
  • You feel comfortable working in BASH
  • You know how to quit Vi
22

Intelligent Solutions Data Scientist Big Data Developer Associate Resume Examples & Samples

  • Strong Analytical Background: Strong background in a hard science discipline such as Math, Statistics, Engineering, or Science; advanced degree or PhD preferred but not required
  • Enterprise Software Development:Experience building enterprise software applications including Test Driven Development, Continuous Integration and Agile Methodologies
  • Big Data Applications: Hands-on experience in development on Big Data technologies such as Hadoop, Spark, Hive and HBase. Some experience in Cloud computing is desirable but not mandatory
  • Data Science/Machine learning:Demonstrable interest in Data Science and Machine Learning through commercial, academic or extracurricular endeavours
  • Strong written and oral communication skills: demonstrates ability to convey complex information simply and clearly to senior business leaders
  • Goal oriented: can work independently to complete work and clear any roadblocks
  • BI Tools:Hands-on experience in development using BI Tools such as: Tableau, Qlikview, or dynamic custom JavaScript
  • Innovation & Product Development:Experience in ideation and product development using machine learning/data science applied to real world problems
23

Big Data Developer / Data Scientist Resume Examples & Samples

  • Bachelor's degree in Computer Science, Info Systems, Math, Physics, Computer Engineering, Electrical Engineering or related technical field
  • Minimum 7-10 years of professional experience in software engineering and development
  • Database development and application integration experience
  • Advanced knowledge of C ##, java, perl, python, scala and r programming
  • Experienced user of Splunk or equivalent training in Splunk or other similar tool
  • Familiarity with Hadoop specifically Spark and Spark Stream
  • Familiarity with Splunk to Hadoop File System integration
24

Big Data Scientist Resume Examples & Samples

  • MS from a reputed organization in Computer Science, Electrical Engineering, Operations Research, Mechanical Engineering, Statistics or Applied Mathematics
  • Proven knowledge of Deep Learning/Machine Learning toolkits
  • Experience in processing and analyzing large data sets
  • 2+ years of data analytics experience in an industrial environment
  • Familiarity with Big data technologies (Hadoop, Spark etc.)
  • Familiarity of Rule Engines
  • For more information please refer to our website at www.usa.siemens.com
25

Research Scientist Big Data Resume Examples & Samples

  • Ph. D. degree in OR, Statistics, EE, CS or related field from an accredited university, or comparable experience
  • Solid knowledge of fundamental Statistics, Optimization, and Machine Learning
  • 3+ years of experience tackling complex problems leveraging multiple disciplines, and developing novel and practical solutions that account for real world conditions
  • Programming experience in Python or Java, familiarity with Spark/Scala is a plus
  • Proficiency in Matlab, R, S, or similar
  • Experience with very large data sets and Map-Reduce paradigm is a plus
  • Strong analytical skills, problem solving mindset, and intellectually curious
  • Enthusiastic team player, fast learner and goal oriented
  • Creative, proactive and energetic
  • Highly organized, with exceptionally high integrity and outstanding team spirit