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Data Scientist, Principal

O

Location
United States
Base Salary
109k-224k USD
Oracle

Job Description

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.
    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.

    As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.

    When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.

    We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

    Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

    We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one.

    Disclaimer:

    Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

  1. Which includes being a United States Affirmative Action Employer
  2. Advice from our career coach

    A successful applicant for the senior/principal level data scientist position with the Energy and Water team should be well-versed in data science, particularly in the energy sector. Here are some tips to help you stand out as an applicant:

    • Have experience with building/deploying GenAI solutions and/or Computer Vision solutions.
    • Demonstrate proficiency in Python, PyTorch, and PySpark.
    • Showcase your strong written and oral communication skills.
    • Highlight your prior experience working in cloud data science environments to build and validate ML models.
    • Emphasize your expertise in machine learning techniques, especially Deep Learning.
    • Be prepared to work collaboratively with teams and clients to deliver impactful solutions.
    • Consider obtaining a PhD in Computer Science, Mathematics, Statistics, Physics, Economics, or another STEM field to enhance your qualifications.
    • Show knowledge of modern data science development and production stacks, preferably in the OCI context.
    • Mentorship experience and a willingness to delve into the details of the product will also make you a standout candidate.

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    About the job

    Oct 17, 2024

    Full-time

    109k-224k USD

    1. US United States
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