Data Scientist and Engineer

3 weeks ago


San Jose, California, United States Ernst and Young Full time

Ernst and Young is a global leader in assurance, consulting, law, strategy, tax, and transaction services. We help our clients succeed worldwide by bringing together exceptional people, inspiring innovation, and bringing insightful ideas to life.

Salary

The estimated annual salary for this position is between $124,300 and $227,900, depending on the location. In the New York City Metro Area, Washington State, and California (excluding Sacramento), the salary range is between $149,200 and $259,000.

Job Description

This role offers an exciting opportunity to work with diverse teams, delivering complex solutions that drive business growth. As a Data Scientist and Engineer - AI Leader, you will be responsible for designing and building scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape.

You will work closely with clients to deliver cutting-edge artificial intelligence and data science solutions, navigating the complex world of modern data science, analytics, and software engineering. This requires strong technical skills, including experience with popular machine learning packages such as scikit-learn, PyTorch, and ONNX, as well as proficiency in data manipulation tools like SQL, Pandas, and Spark.

Required Skills and Qualifications
  1. Bachelor's degree in Computer Science, Mathematics, or a related field, and 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning.
  2. 2-4 years of experience directly managing technical teams, demonstrating leadership skills and expertise in AI and Data Science.
  3. Strong programming skills in Python, with experience using Generative AI models and frameworks like OpenAI family, open-source LLMs, Dall-e, LlamaIndex, Langchain, and Retrieval Augmented Generation (RAG).
  4. Experience working with DevOps tools like GIT, Azure DevOps, and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.
  5. A solid understanding of Machine Learning workflows, including ingesting, analyzing, transforming data, and evaluating results to make meaningful predictions.
  6. Experience with MLOps methods and platforms like MLFlow, as well as CI/CD and test-driven development.
  7. Strong mathematical and quantitative skills, including calculus, linear algebra, and statistics.
Benefits

We offer a comprehensive compensation and benefits package, including medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Our flexible vacation policy allows you to decide how much time you need based on your personal circumstances.

EY accepts applications for this position on an ongoing basis. If you meet the criteria above, we encourage you to apply as soon as possible.



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