Data Scientist, Principal

The Energy and Water team is looking for a senior/principal level data scientist to join our data science organization. Utilities from around the world provide energy usage data from tens of millions of customers at some of the largest utilities.

We 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. We 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.

Career Level - IC4

Responsibilities include a mix of the following tasks:

• Stay on top of current trends in data science and find avenues to apply those tools to problems in our backlog.
  1. Our data science backlog (in the area of Distributed Energy Management and Outage Management, for example) are critical path for product. Candidates for this role/level will be expected to own delivery of productized solutions. This will involve 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, and work matrixed (or as a tech lead) to other data scientists to build out the solution to the posed problem.
     1. 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.
• Identify recurring problems and bottlenecks in our data science R&D stack and develop/recommend solutions.
  1. This will require experience and understanding of modern data science development and production stacks, preferably in the OCI context, but experience in other similar stacks will also be considered.
• Assist manager and leaders in refining scope of prioritized tasks by identifying required datasets, building proofs-of-concept models, identifying gaps.
• Efficiently execute defined, data science tasks, as prioritized by leadership.
• Productize built models using our OCI data science stack
• Work with our client management team and our customers to define and take ownership of scope, intermediate deliverables, and timelines around data science deliverables.
• Mentor junior data scientists and recommend best research practices for the team;

Preferred Qualifications

1. PhD in Computer Science, Mathematics, Statistics, Physics, Economics or other STEM field; strong MS/BS candidates will also be considered. Prior energy sector experience is a plus but not a gating requirement.
2. 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. PhD candidates with lower tenure in senior roles will also be considered.
3. Prior experience with Python, PyTorch (or other equivalent deep learning frameworks) strongly preferred. PySpark nice to have.
4. Strong written & oral communication skills;
   

A successful candidate will demonstrate the following qualities:

1. Prior experience working as a data scientist (either research, R&D or MLOps)
2. Prior experience working in cloud data science environments to build and validate ML models.
3. Breadth and depth across machine learning techniques: specifically Deep Learning.
   1. A reasonable number of our problems also benefit from classical ML techniques, so prior experience crafting features to train models is also required.
4. Be a team player and be willing to delve into the details of the product to make sure clients are seeing value.

3. Life insurance and AD&D

4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

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