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# Data Scientist, Technology Consulting, AI & Data, Government & Public Sector (Manager)(Multiple Posi

- **Company:** EY Government Services LLC
- **Location:** Seattle, WA, United States
- **Experience:** Experienced
- **Salary:** $196,914.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), A/B Testing, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Big Data, C Sharp (Programming Language), Information Systems, Information Technology Consulting, Information Engineering, Data Mining, Relational Databases, R (Programming Language), Apache Hadoop, Apache Hive, Python (Programming Language), Machine Learning, NoSQL, Pattern Recognition, Recommender Systems, SQL Databases, Computational Statistics, Naive Bayes, Information Technology
- **Published:** June 4, 2026
- **Apply:** https://seeker-sp.worksourcewa.com/jobview/GetJob.aspx?JobID=293455564

## About the Role

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.

Employer will accept any suitable combination of education, training or experience.



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