About The Position
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Data Scientist, Technology Consulting, AI & Data, Government & Public Sector (Manager)(Multiple Positions)(1714802), EY Government Services LLC, Seattle, WA. Provide a full range of consulting services to help State, Local and Education clients implement new ideas to help achieve their mission outcomes by delivering a unique perspective on how data science and analytics can transform and improve their entire organization. Apply data mining and statistical analysis techniques like hypothesis testing, segmentation, and modelling to analyze large amounts of data. Deliver the latest data science and big data technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources. Help clients make data-driven decisions by working with structured and unstructured data sets, building out predictive models and advise clients on data mining leading practices. Unify, enrich, and analyze client data to derive new insights and opportunities. Leverage in-house data platforms as needed and recommend and build new data platforms/solutions as required to exceed client’s requirements. Build and apply data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) as appropriate. Communicate findings, recommendations, and opportunities to clients to improve data systems and solutions. Apply data driven approach (KPIs) in tying technology solutions to specific business outcomes. Share leading practices and insights about current industry or subject-matter topics with EY US leaders, proposal teams and clients. Manage and motivate teams with diverse skills and backgrounds. Consistently deliver quality client services by monitoring progress. Demonstrate in-depth technical capabilities and professional knowledge. Maintain long-term client relationships and networks. Cultivate business development opportunities.
Requirements
- Bachelor's degree in Mathematics, Information Systems, Statistics, Operations Research, Analytics, Computer Science, Engineering, Data Science, Machine Learning, or a related field, and 5 years of progressive, post-baccalaureate work experience.
- Master's degree in Mathematics, Information Systems, Statistics, Operations Research, Analytics, Computer Science, Engineering, Data Science, Machine Learning, or a related field and 4 years of work experience.
- 4 years of advisory and/or consulting experience.
- 4 years hands-on experience with one or a combination of the following: data science, big data, and/or data engineering.
- 3 years of experience connecting data sources and structures in one or a combination of any of the following: APIs, NoSQL, RDBMS, Hadoop, S3, SQL, Hive, Pig, and/or Blob Storage.
- 3 years of experience with advanced statistical modeling.
- 2 years of experience in at least one of the following: R, Python, Java, C#, or Scala.
- 2 years of experience in each of the following: machine learning such as k-NN, naive bayes, decision trees, or SVM, data mining and statistical tools, pattern recognition and predictive modelling, recommendation engines, scoring systems, A/B testing, setting up data and experimental platforms.
- 2 years of hands-on experience with various big data technologies in at least one of the following ecosystems: Google, AWS, or Microsoft.
- 4 years of experience working with tools/libraries including with one or combination of any of the following: Python, Panda, and/or R.
- 2 years of experience of leading, coaching, mentoring and performance assessment of all levels of staff.
- Domestic travel up to 30% to serve client needs.
Responsibilities
- Apply data mining and statistical analysis techniques like hypothesis testing, segmentation, and modelling to analyze large amounts of data.
- Deliver the latest data science and big data technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources.
- Help clients make data-driven decisions by working with structured and unstructured data sets, building out predictive models and advise clients on data mining leading practices.
- Unify, enrich, and analyze client data to derive new insights and opportunities.
- Leverage in-house data platforms as needed and recommend and build new data platforms/solutions as required to exceed client’s requirements.
- Build and apply data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) as appropriate.
- Communicate findings, recommendations, and opportunities to clients to improve data systems and solutions.
- Apply data driven approach (KPIs) in tying technology solutions to specific business outcomes.
- Share leading practices and insights about current industry or subject-matter topics with EY US leaders, proposal teams and clients.
- Manage and motivate teams with diverse skills and backgrounds.
- Consistently deliver quality client services by monitoring progress.
- Demonstrate in-depth technical capabilities and professional knowledge.
- Maintain long-term client relationships and networks.
- Cultivate business development opportunities.
Benefits
- medical and dental coverage
- pension and 401(k) plans
- a wide range of paid time off options
- flexible vacation policy
- designated EY Paid Holidays
- Winter/Summer breaks
- Personal/Family Care
- other leaves of absence
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What This Job Offers
Job Type
Full-time
Career Level
Manager
