Principal Data Science Leader

4 days ago

Raleigh, North Carolina, United States Oracle Full time

Job Description:

We are looking for a talented Principal Data Scientist to work across a breadth of areas, from customer-facing aspects of the energy and water business to generation, transmission, and distribution on the grid side. As a key member of our team, you will use data science to solve real-world problems like helping make energy bills more affordable, keeping the lights on after storms, and helping utilities transition to renewable sources of energy.

Responsibilities:

  1. Stay on top of current trends in data science and find avenues to apply those tools to problems in our backlog.
  2. Owning delivery of productized solutions, engaging in early-stage discussions with PMs and client-facing teams to help guide them towards writing requirements that enable feasible data science models to be deployed across clients.
  3. Working matrixed (or as a tech lead) to other data scientists to build out the solution to the posed problem.
  4. Prior experience in building/deploying GenAI solutions (for example, using available foundational models, or RAG training on top of these models), and/or Computer Vision solutions is a plus.
  5. Identifying recurring problems and bottlenecks in our data science R&D stack and developing/recommending solutions.
  6. Assisting manager and leaders in refining scope of prioritized tasks by identifying required datasets, building proofs-of-concept models, identifying gaps.
  7. Executing defined, data science tasks, as prioritized by leadership.
  8. Productizing built models using our OCI data science stack.
  9. Working with our client management team and our customers to define and take ownership of scope, intermediate deliverables, and timelines around data science deliverables.
  10. Mentoring junior data scientists and recommending best research practices for the team.

Requirements:

  • PhD in Computer Science, Mathematics, Statistics, Physics, Economics, or other STEM field; strong MS/BS candidates will also be considered.
  • Prior energy or utility domain experience is a plus but not a requirement.
  • 8-10 years of professional work experience in a data science role spanning either pure data science research or a mix of model building and MLOps.
  • Experience with Python, PyTorch (or other equivalent deep learning frameworks) strongly preferred. PySpark nice to have.
  • Prior experience working in cloud data science environments to build and validate ML models.
  • Breadth and depth across machine learning techniques: specifically Deep Learning.
  • A reasonable number of our problems also benefit from classical ML techniques, so prior experience crafting features to train models is also required.

Compensation:

The estimated annual salary for this role is $109,100 to $223,500 per annum, may be eligible for bonus and equity. Oracle offers a comprehensive benefits package including medical, dental, and vision insurance, short-term disability and long-term disability, life insurance and AD&D, supplemental life insurance, healthcare and dependent care Flexible Spending Accounts, pre-tax commuter and parking benefits, 401(k) Savings and Investment Plan with company match, paid time off, 11 paid holidays, paid sick leave, paid parental leave, adoption assistance, Employee Stock Purchase Plan, financial planning and group legal, and voluntary benefits including auto, homeowner, and pet insurance.

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