EY Data Scientist-Tech Cons-AI Data-AI Quantitative 

United States, Illinois, Chicago 

794838054

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.

• 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.