at ERNST & YOUNG U.S. LLP in Chicago, Illinois, United States
Job Description
Data Scientist, Technology Consulting, AI & Data - AI & Quantitative Modelling - Azure Data Scientist (Senior Manager) (Multiple Positions) (1526774), Ernst & Young U.S. LLP, Chicago, IL.
Solve complex analytical problems in an effort to bring data to insights and enable the use of ML and AI at scale for clients. Lead clients' data strategy, business priorities, and success measures to provide context for designing and building models. Translate business requirements to Data Science solutions leveraging strong business acumen. Apply technical knowledge to architect solutions that meet business needs, AA/AI roadmaps, and contributing to architectures that enable the ability to scale to support additional modelling use cases. Guide the Microsoft Cloud Solution Architects and Data Platform Engineers in developing complex end-to-end Enterprise solutions on Microsoft Azure platform. Design machine learning pipelines that curate datasets, train, test, and validate models, compare model performance to existing or previously catalogued models, and then package the models and either deploy them to a real-time serving layer or handle batch scoring activities. Provide oversight, guidance, and recommendations around data technology, data models, data storage and data analytics. Stay abreast of current business and industry trends relevant to the client's business.
Lead and direct teams of professionals with diverse skills and backgrounds by providing constructive on-the-job feedback/coaching to team members. Develop and maintain long-term client relationships and networks. Manage risk in the delivery of quality client services. Generate and manage new business 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, 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.
Requires travel up to 60%, of which 20% may be international, to serve client needs.
Employer will accept any suitable combination of education, training or experience.
Please apply on-line at ey.com/en_us/careers and click on "Careers - Job Search”, then “Search Jobs" (Job Number - 1526774).
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 our 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.
E.E.O. Please visit ey.com/en_us/careers for more information.
