Data Sci - Tech Con - AI and Data - Govt and Public Sector - Manager - Multiple Positions - 1714802

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 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. Full time employment, Monday – Friday, 40 hours per week, 8:30 am – 5:30 pm. MINIMUM REQUIREMENTS 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. 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. Employer will accept any suitable combination of education, training or experience. What we offer We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary for this job is $196,914.00 per year. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY’s Talent Shared Services Team or email SSC Customer Support at View email address on click.appcast.io. This particular position at Ernst & Young in the United States requires the qualified candidate to be a “United States worker” as defined by the U.S. Department of Labor regulations at 20 CFR 656.3. You can review this definition at at the bottom of page 750. Please feel free to apply to other positions that do not require you to be a “U.S. worker”. #J-18808-Ljbffr EY