Data Scientist - PyTorch & MLOps Innovator

Cedars-Sinai

Santa Clarita (CA)

On-site

USD 144,000 - 212,000

Full time

14 days+

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Benefits offered by this job

Autonomy to set schedule
Career growth support

Job summary

Cedars-Sinai in Santa Clarita, CA is seeking a Data Scientist who can passionately argue for PyTorch and commit to team decisions. The role offers autonomy to set your own schedule and a strong path for growth while focusing on high-impact MLOps work.

You will backfill test coverage, prototype LangChain ideas, and collaborate with data teams to surface insights from production systems. Expect a fast-paced, hands-on environment with meaningful impact.

Qualifications

  • Proven ability to drive technology decisions.
  • Ability to work at Cedars-Sinai pace and adapt quickly.
  • Strong team mindset and willingness to unblock others.
  • Confident communicator across email, calls, and in-person meetings.
  • Practical PyTorch skills and familiarity with MLOps.
  • Integrity to own and flag mistakes.

Responsibilities

  • Watch MLOps error budgets and mitigate risks.
  • Backfill MLOps test coverage in high-risk areas.
  • Ship Project Management experiments quickly and focus on successful approaches.
  • Automate routine Project Management tasks that drain engineering time.
  • Prototype LangChain ideas quickly and advocate for adoption.
  • Implement secure authentication and ETL Pipelines flows.
  • Work with data teams to surface insights from production systems.
  • Design and defend SQL architecture in reviews and build the solution.

Skills

PyTorch
MLOps
LangChain
SQL architecture
Decision making
Project management

Tools

ETL Pipelines
LangChain

Job description

Cedars-Sinai in Santa Clarita, CA is seeking a Data Scientist who can passionately argue for PyTorch and commit to team decisions. The role offers autonomy to set your own schedule and a strong path for growth while focusing on high-impact MLOps work.

You will backfill test coverage, prototype LangChain ideas, and collaborate with data teams to surface insights from production systems. Expect a fast-paced, hands-on environment with meaningful impact.

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