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EY Adv - TC AI Data Scientist Senior 
United States, Washington, Seattle 
81715235

17.04.2025

שיתוף

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IT Advisor, Technology Consulting - AI & Data (Data Scientist) (Senior Manager) (Multiple Positions) (1599629), Ernst & Young U.S. LLP, Seattle, WA.

Full time employment, Monday – Friday, 40 hours per week, 8:30 am – 5:30 pm.

MINIMUM REQUIREMENTS:

Bachelor's degree in Mathematics, Management Information Systems, Statistics, Computer Science, Business or a related field and 8 years of progressive, post-baccalaureate related work experience; or a master's degree in Mathematics, Management Information Systems, Statistics, Computer Science, Business or a related field and 7 years of related work experience.Must have 6 years of experience in providing advisory services with a strategic focus in helping clients achieve transformational value by improving performance and mitigating risk through the use of advanced analytics solutions.Must have 6 years of experience driving revenue within existing clients and developing new prospects at the “C” level of Fortune 500 companies by understanding and translating business challenges into value add analytics solutions.Must have 6 years of Analytics engagement leadership experience including: leading a team of consulting professionals on multiple projects, providing regular status updates, monitoring project economics, hands on technical expertise and managing client relationships.Must have 6 years of hands-on experience with data science, big data, and data engineering.Must have 6 years of hands-on experience with various big data technologies in one or a combination of the following ecosystems: Hadoop, AWS and/or Microsoft.Must have 5 years of experience with 3 of the following data sources and structures: APIs, NoSQL, RDBMS, Hadoop, S3, and Blob Storage.Must have 5 years of experience working on solid pattern recognition and predictive modelling.Must have 5 years of experience working on data mining and statistical tools.Must have 3 years of experience with statistical modeling, ETL and data ingestion/cleansing.Must have 3 years of experience setting up data and experimental platforms.Must have 3 years of experience using at least one or a combination of the following: R, SAS, Python, Java/C#, Scala, SQL, Hive or Pig.Must have 3 years of experience using machine learning algorithms including neural networks, k-NN, naive bays, decision trees and SVM.Must have 3 years of experience using recommendation engines, scoring systems, and A/B testing.Domestic travel required up to 80%, 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 $308,105 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 exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
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 https://www.gpo.gov/fdsys/pkg/CFR-2011-title20-vol3/pdf/CFR-2011-title20-vol3-sec656-3.pdf 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".

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