Data Scientist, Technology Consulting, AI & Data, Government & Public Sector

**Overview:**

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. This role is part of our Technology Consulting team, focusing on AI and Data, within the Government and Public Sector. **Responsibilities:**

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 advising 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 a 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. **Qualifications:**

• Must have a 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. - Alternatively, will accept a 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. - Must have 4 years of advisory and/or consulting experience. - Must have 4 years hands-on experience with one or a combination of the following: data science, big data, and/or data engineering. - Must have 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. - Must have 3 years of experience with advanced statistical modeling. - Must have 2 years of experience in at least one of the following: R, Python, Java, C#, or Scala. - Must have 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
• Must have 2 years of hands-on experience with various big data technologies in at least one of the following ecosystems: Google, AWS, or Microsoft. - Must have 4 years of experience working with tools/libraries including with one or combination of any of the following: Python, Panda, and/or R.
• Must have 2 years of experience of leading, coaching, mentoring, and performance assessment of all levels of staff. - Requires domestic travel up to 30% to serve client needs. **Benefits:**
• Comprehensive compensation and benefits package
• Base salary: $196,914.00 per year
• Medical and dental coverage
• Pension and 401(k) plans
• Wide range of paid time off options
• Flexible vacation policy
• Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence
• Opportunities for continuous learning and professional growth
• Diverse and inclusive culture
• Transformative leadership development
• The exceptional EY experience: build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets