Ernst & Young-posted about 1 year ago
Full-time • Manager
Dallas, TX
Professional, Scientific, and Technical Services

The Data Scientist position at EY focuses on solving complex analytical problems to derive insights from data and enable the use of machine learning (ML) and artificial intelligence (AI) at scale for clients. The role involves assisting clients with their data strategy, translating business requirements into data science solutions, and collaborating with technical teams to develop enterprise solutions on the Microsoft Azure platform. The position also includes managing and motivating a team of professionals, ensuring quality client services, and maintaining long-term client relationships.

  • Solve complex analytical problems to bring data to insights and enable ML and AI at scale for clients.
  • Assist with 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 and contribute to architectures that enable scalability.
  • Collaborate with Microsoft Cloud Solution Architects and Data Platform Engineers in developing complex end-to-end Enterprise solutions on Microsoft Azure.
  • Design machine learning pipelines that curate datasets, train, test, and validate models, and package them for deployment.
  • Provide directional 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.
  • Manage and motivate teams of professionals with diverse skills and backgrounds.
  • Consistently deliver quality client services by monitoring progress and maintaining long-term client relationships.
  • Bachelor's degree in Mathematics, Information Systems, Statistics, Computer Science, Data Science, Machine Learning, Analytics, Engineering or a related field and 5 years of progressive, post-baccalaureate advisory and/or consulting work experience, or a Master's degree in a related field and 4 years of advisory and/or consulting work experience.
  • 4 years of combined experience with data science, AI, and/or data engineering or big data.
  • 2 years of combined experience with 3 of the following: machine learning techniques, data mining and statistical tools, pattern recognition and predictive modeling, recommendation engines, or setting up data and experimental platforms.
  • 1 year of experience with analytics and big data technologies within Microsoft Azure, using tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks, or Azure Synapse Analytics.
  • 1 year of experience with leveraging distributed techniques for training and scoring machine learning models using Azure Databricks.
  • 1 year of experience with cloud Machine Learning frameworks and tools such as Tensor Flow, PyTorch, ONNX, Weka, NumPy, or PyMongo.
  • 1 year of experience with Model Management, such as Azure ML service or MLFlow and deployment of models using Azure Kubernetes Service.
  • 1 year of experience working in Python, R, Scala, or T-SQL.
  • 2 years of experience counseling and mentoring junior level consultants.
  • Comprehensive compensation and benefits package including medical and dental coverage.
  • Pension and 401(k) plans.
  • Flexible vacation policy allowing employees to decide how much vacation time they need.
  • Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence.
  • Continuous learning opportunities.
  • Tools and flexibility to make a meaningful impact.
  • Insights, coaching, and confidence to be a transformative leader.
  • Diverse and inclusive culture that empowers employees.
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