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EY Data Scientist-Tech Cons-AI Data-AI Quantitative 
United States, Illinois, Chicago 
794838054

03.09.2024

Data Scientist, Technology Consulting, AI & Data - AI & Quantitative Modelling - Azure Data Scientist (Senior Manager) (Multiple Positions) (1526774), Ernst & Young U.S. LLP, Chicago, IL.

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, Computer Science, Data Science, Machine Learning, Analytics, Engineering, or a related field and 8 years of advisory and/or consulting work experience (of which 5 years must be progressive, post-baccalaureate work experience). Alternatively, will accept a Master’s degree in Mathematics, Information Systems, Statistics, Computer Science, Data Science, Machine Learning, Analytics, Engineering, or a related field and 7 years of advisory and/or consulting work experience. Experience may be gained as part of the Master's education, including co-op and/or internship experience.Must have 6 years of experience in any combination of the following: data science, AI, and/or data engineering or big data.Must have 4 years of experience with at least three 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 3 years of experience with analytics and big data technologies within Microsoft Azure, using at least one of the following tools: Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks, or Azure Synapse Analytics.Must have 3 years of experience with leveraging distributed techniques for training and scoring machine learning models using Azure Databricks.Must have 3 years of experience with one or a combination of any of the following Cloud Machine Learning frameworks and tools: Tensor Flow, PyTorch, ONNX, Weka, NumPy, and/or PyMongo.Must have 3 years of experience with Model Management, such as experience in Azure ML service and/or MLFlow and deployment of models using Azure Kubernetes Service.Must have 5 years of combined experience working with at least 2 of the following: Python, R, Scala, and/or T-SQL.Must have 4 years of experience counselling and mentoring junior level consultants by providing structured, on-the-job feedback.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 $204,217.00 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. 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.
If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
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".