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Senior Optum Data Science Jobs in California (NOW HIRING)

About the Role This is a senior leadership role on a team tackling one of the hardest and highest ... What You'll Do * Lead and mentor a high-performing data science team, balancing individual ...

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As a Senior Manager Data Scientist, you will be an integral part of a multi-functional development team inventing, designing, building, and testing products that reach a truly global customer base.

As a Senior Manager Data Scientist, you will be an integral part of a multi-functional development team inventing, designing, building, and testing products that reach a truly global customer base.

Senior Data Scientist Location: San Francisco, CA Sponsorship: Yes Relocation: Yes Industry ... Data Science Are you an experienced Data Scientist with 5+ years' experience who likes solving ...

As the Senior Director of Data Science for Commerce Foundational Models , you will lead an elite, high-caliber engineering and data science team dedicated to building Walmart's next-generation ...

As the Senior Director of Data Science for Commerce Foundational Models , you will lead an elite, high-caliber engineering and data science team dedicated to building Walmart's next-generation ...

As the Senior Director of Data Science for Commerce Foundational Models , you will lead an elite, high-caliber engineering and data science team dedicated to building Walmart's next-generation ...

Senior Director, Data Science

Fremont, CA · On-site

$208K - $416K/yr

As the Senior Director of Data Science for Commerce Foundational Models , you will lead an elite, high-caliber engineering and data science team dedicated to building Walmart's next-generation ...

As the Senior Director of Data Science for Commerce Foundational Models , you will lead an elite, high-caliber engineering and data science team dedicated to building Walmart's next-generation ...

Senior Director, Data Science

Hayward, CA · On-site

$208K - $416K/yr

As the Senior Director of Data Science for Commerce Foundational Models , you will lead an elite, high-caliber engineering and data science team dedicated to building Walmart's next-generation ...

As the Senior Director of Data Science for Commerce Foundational Models , you will lead an elite, high-caliber engineering and data science team dedicated to building Walmart's next-generation ...

You are a senior technical leader first. You bring deep, hands-on expertise in causal ML, statistical modeling, and measurement science - enough to drive architectural decisions, mentor senior data ...

Senior Data Scientist

Sacramento, CA · On-site

$116K - $241K/yr

The Senior Data Scientist leads and contributes to a diverse portfolio of cutting-edge ... Hands-on data science problem solving with real-world, complex data sets. Experience applying ...

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Senior Optum Data Science information

What is the difference between Senior Optum Data Science vs Data Analyst?

AspectSenior Optum Data ScienceData Analyst
Required CredentialsAdvanced degree in Data Science, Statistics, or related field; experience with machine learningBachelor's degree in Data Analysis, Statistics, or related field; some experience with data tools
Work EnvironmentHealthcare analytics, cross-functional teams, complex data modelingData reporting, visualization, basic analysis in various industries
Employer & Industry UsageOptum/UnitedHealth Group, healthcare industryVarious industries including healthcare, finance, retail

Senior Optum Data Scientists focus on advanced analytics, machine learning, and healthcare-specific data challenges within Optum. Data Analysts typically handle data reporting, visualization, and basic analysis across multiple industries. The roles differ mainly in complexity, required skills, and industry focus, with Senior Data Scientists engaging in more technical and strategic tasks.

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Cities in California with the most Senior Optum Data Science job openings:

Senior Manager, Data Science

bareinsights

Los Angeles, CA • On-site

$210K - $230K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

About the Role

This is a senior leadership role on a team tackling one of the hardest and highest-impact problems in blockchain analytics: connecting on-chain activity to real-world entities with precision and scale. You'll blend hands-on technical work with people management and product strategy, sitting at the intersection of blockchain intelligence, data science, and applied machine learning.

What You'll Do
  • Lead and mentor a high-performing data science team, balancing individual execution with longer-term strategic vision.

  • Drive technical innovation across a modern data stack (Python, Airflow, BigQuery, Kafka, Snowflake), ensuring pipelines and models scale with quality.

  • Collaborate cross-functionally with engineering, product, and intelligence teams to turn raw blockchain data into actionable product insights.

  • Set the standard for accuracy and trustworthiness in blockchain attribution, helping establish market-leading data quality.

  • Recruit, develop, and retain top technical talent while growing the team's overall product and engineering maturity.

  • Maintain a hands-on technical presence (~20–80 split), actively contributing code and technical direction rather than managing exclusively.

What We're Looking For
  • 7+ years of data science experience, with at least 4 years directly managing data science or machine learning individual contributors.

  • Prior hands-on experience as an MLE or data scientist — this is not a pure people-management role.

  • Full-stack data science profile: strong proficiency in Python, statistical modeling, and data pipeline development (not analytics-only or BI-focused).

  • Experience with large-scale data systems and orchestration tools such as BigQuery, Snowflake, Airflow, or equivalents.

  • Demonstrated use of AI tools and LLMs to accelerate technical work and productivity.

  • Background at a startup or hypergrowth company (Series A–C stage or equivalent).

  • Experience in blockchain analytics, financial crime, fraud detection, or fintech data domains.

  • Strong cross-functional collaboration skills across engineering, product, and intelligence stakeholders.

  • Advanced degree (Master's or PhD) in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or Engineering is a plus.

  • U.S. work authorization required; no visa sponsorship available.

Compensation & Benefits

Base salary range: $210,000 – $230,000 USD annually. No visa sponsorship available.

Location

Fully remote within the United States. Primary location is Los Angeles, CA. Candidates must be U.S.-based with a minimum of 6 hours of daily overlap with the Eastern Time zone.