Senior Data Scientist
Austin, TXFull-timePosted 2 days agoStill listed today
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At a glance
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Job overview
Harbor Health is hiring Senior Data Scientists to own problem areas across risk adjustment and claims, defining questions, building analyses or models, and carrying results through to use. The role works with SQL, Python and dbt, applies statistical methods, and partners with business, product, technical and clinical stakeholders. Healthcare experience is preferred, while comparable work in insurance risk, credit or econometrics is also welcomed.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
- LocationRemote - United States
- Job CategoryData Scientist
- IndustryHealthcare
- Employee TypeExempt - FT
- Manage OthersNo
- Minimum Experience5 Years
Contact information
- NameRecruiting
- Phone512-766-1346
- [email protected]
Description
Senior Data Scientist Harbor Health This is a FULLY REMOTE position POSITION OVERVIEW Harbor Health runs both a health plan and a medical group, so data science here sits where cost, risk and care meet. We are hiring Senior Data Scientists to own whole problem areas, not slices of someone else's project: you define the questions that matter, build the analysis or model, put it in front of the people who act on it, and stay with it until the result is in use. Right now those problem areas are risk adjustment and claims: how sick our members really are, and what is driving the cost of their care. Neither is solved yet, and both move real money. We hire for this profile on an ongoing basis, and the same kind of person will be needed in other parts of the business over time. POSITION DUTIES & RESPONSIBILITIES
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Take a vague question from actuarial, finance, operations or clinical leaders, work out the decision behind it, and turn it into a defined problem, a plan and a recommendation, without waiting to be steered.
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Build the data your work depends on: tables, pipelines and definitions in SQL, Python and dbt, working alongside analytics engineering.
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Answer the question with the method that fits, from a careful analysis to a forecast or a predictive model, and validate the result before anyone relies on it.
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Put the result in front of the people who act on it, as a dashboard, a work list for operations or a recommendation for leadership.
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Own what you ship: its accuracy, its documentation, and whether it gets used and moves a number you can size.
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Work directly with stakeholders and explain tradeoffs in plain language to technical and non-technical people.
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Use AI in your daily work, efficiently and responsibly, and share what works with the team.
DESIRED PROFESSIONAL SKILLS & EXPERIENCE
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A drive toward complex problems. You choose the ones with messy data, disputed definitions and no playbook, and you stay with them until the business has an answer it can act on.
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High ownership of your own work. You carry it from the question to the data, the method, the validation and the hand-off, and you stay accountable for what happens after. You find and fix problems in your own work before others do.
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Fluency with AI agentic development tools such as Claude Code, Cursor or Codex. You plan, write, test and review with agents, check what they produce, and build repeatable workflows around them.
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Cross-functional partnership. You work directly with stakeholders in business, product and tech, and drive the work to a successful outcome independently.
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Typically 5+ years of hands-on data science, applied statistics or quantitative modeling, with strong SQL and Python. We work in Snowflake and dbt; experience on any modern cloud data platform transfers.
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Sound statistical judgment: you know which method fits the problem and how wrong the answer could be.
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The ability to size what your work changes: a cost, a rate, a capture rate.
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A bachelor's degree in a quantitative field or equivalent experience. An advanced degree is a plus.
Preferred Relevant healthcare experience is preferred, not required. Any of these helps:
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Health plan, provider or value-based care analytics, with claims, eligibility or clinical data.
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Risk adjustment (HHS-HCC, CMS-HCC, RAF, EDGE, RADV), medical economics (PMPM, utilization, cost trend) or actuarial-adjacent work.
If you come from outside healthcare, for example insurance risk, credit or econometrics, and have solved comparable problems, we want to hear from you. WHAT WE OFFER
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Comprehensive medical, dental and vision benefits
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401(k) with company match
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Generous PTO and paid holidays
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Professional development and growth opportunities
COMPANY OVERVIEW At Harbor Health, we're transforming healthcare in Texas through collaboration and innovation. We're seeking passionate individuals to help us create a member-centered experience that connects comprehensive care with a modern payment model. If you're ready to make a meaningful impact in a dynamic environment where your contributions are valued, please bring your talents to our team! EQUAL EMPLOYMENT OPPORTUNITY Harbor Health is an Equal Opportunity Employer. We celebrate diversity and are committed to building an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.
How this job compares
Set against the 4,636 open Data Scientist jobs on Olive Jobs, counted November 10, 2026.
- Pay
- This postingNot listed
- Texas median$126–208K/yr159 salary ranges
- US median$65–77/hr118 hourly ranges
- Openings
- Olive Jobs lists 255 open Data Scientist jobs in Texas and 4,636 across the US. 7% of them nationwide are listed as remote or flexible.
- Experience
- Data Scientist postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 6 years (4,024 postings).
- Education
- 2,272 of the 4,636 open Data Scientist jobs (49%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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