Principal Data Scientist (US Remote)

Description

Career Level - IC4

Responsibilities

Responsibilities include a mix of the following tasks:

1. 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.
2. 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.
3. Assist manager and leaders in refining scope of prioritized tasks by identifying required datasets, building proofs-of-concept models, identifying gaps. 
4. Efficiently execute defined, data science tasks, as prioritized by leadership.
5. Productize built models using our OCI data science stack
6. Work with our client management team and our customers to define and take ownership of scope, intermediate deliverables, and timelines around data science deliverables.
7. Mentor junior data scientists and recommend best research practices for the team;

Required and Preferred Qualifications

1. PhD in Computer Science, Mathematics, Statistics, Physics, Economics or other STEM field; strong MS/BS candidates will also be considered. 
2. Prior energy or utility domain experience is a plus but not a requirement.
3. 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. 
4. Experience with Python, PyTorch (or other equivalent deep learning frameworks) strongly preferred. PySpark nice to have.
5. Prior experience working in cloud data science environments to build and validate ML models.
6. Breadth and depth across machine learning techniques: specifically Deep Learning. 
7. Be a team player and be willing to delve into the details of the product to make sure clients are seeing value.
8. A reasonable number of our problems also benefit from classical ML techniques, so prior experience crafting features to train models is also required.

#LI-REMOTE 

Qualifications
Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range: from $109,100 to $223,500 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
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.