Senior Data Scientist
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 11h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 13d ago
The date the source published, not the day we noticed it (2026-10-20). Last seen at its source 1h ago.
We have tracked this listing since 23 Oct 2026 (10 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description agrees: it names United States.
What the ad says
…Remote (…) US…
Pay
$220k–260k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Workable employer's own board first seen 10d ago · last seen 1h ago
The listing
About the company
Our client is a healthcare technology company.
The role
Raydar is recruiting for this role on behalf of our client. Serve as the analytical lead for a portfolio of client engagements, shaping modeling work from early data setup through live deployment. Spend much of the time in conversation with business and technical counterparts, explaining methods and converting commercial questions into measurable analytical work.
What you'll do
- Take responsibility for client relationships and the full analytical lifecycle, including data onboarding, study planning, deployed models and continuous refinement.
- Develop predictive models for audience targeting and marketing, including segmentation, propensity scoring and campaign optimization.
- Plan commercially focused studies and justify the approach to senior audiences.
- Run models in production on a public cloud, with automated deployment practices and ongoing performance monitoring.
- Partner with business, analytics and IT counterparts at client organizations to shape practical analytical solutions.
- Pass along recurring client needs and themes to the internal product group.
Requirements
What we're looking for
- Background in the commercial side of large pharmaceutical companies, such as healthcare provider targeting, field teams or sales support; wider biopharma data science experience is also considered, while purely clinical or R&D work is a weaker match.
- Track record of building data and machine learning pipelines, including ETL/ELT and predictive modeling.
- Proven ability to take a model from concept to a working production deployment.
- Experience leading technical delivery for clients across the engagement, from early scoping and solution design through implementation and integration after the sale.
- Strong Python and SQL skills plus working knowledge of a major cloud provider.
- Confident, polished communication with clients, including leading technical workshops and presenting findings to senior stakeholders.
- Self-starter attitude and willingness to take on varied responsibilities in a small, quick-moving team.
Bonus points
- Exposure to large language model applications or AI agents, such as prompt design, guardrails and observability.
- Experience in an early-stage or high-growth startup, in a founding or senior technical capacity.
- Prior predictive modeling work on commercial pharma problems, including specialty or rare disease launches.
Benefits
Compensation and benefits
- Base salary: USD 220,000 to 260,000 per year
- Equity
- Performance bonus
Location and work model
- Remote (US)
- Full-time