Applied 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 5h 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 33d ago
The date the source published, not the day we noticed it (2026-09-30). Last seen at its source 3h 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 3 hours 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
$180k–240k/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 3h ago
The listing
About the company
Our client is a fast-growing technology company.
The role
Raydar is recruiting for this role on behalf of our client. Take responsibility for a handful of client relationships, shaping analytical studies and delivering automated machine learning workflows into production. Serve as the go-to analytical expert when meeting client stakeholders, and relay recurring needs to the product team.
What you'll do
- Lead a small set of client engagements from initial data onboarding and pilot planning through live operation.
- Plan and justify analytical studies that show clear business value.
- Create automated, client-specific workflows that train models, generate scores and deliver results on a regular basis.
- Take part in working sessions with client analytics, subject-matter and IT groups to convert business questions into data solutions.
- Notice recurring themes across clients and bring the most valuable needs to product planning.
Requirements
What we're looking for
- At least 4 years of experience in data science or a related discipline.
- Confident client-facing skills, including leading working sessions alone and standing behind your approach when challenged.
- A track record of managing client relationships and speaking directly with customers.
- Experience planning and carrying out studies that produced measurable business results.
- Solid production Python skills, including pandas, scikit-learn and workflow orchestration: you deliver working code, not just notebooks.
- Hands-on work with large-scale distributed data processing for machine learning, using Spark.
- Background in healthcare or life sciences data, such as claims, health records, lab data or population health analytics.
- Skill in describing model behavior clearly and assessing results candidly.
- Experience delivering a sophisticated data or machine learning solution from design to launch.
- A self-starting mindset and readiness to take on varied responsibilities in a lean, fast-moving setting.
Bonus points
- Prior experience at an early-stage or rapidly scaling startup.
Benefits
Compensation and benefits
- Base salary: USD 180,000 to 240,000 per year
- Equity
- Performance bonus
Location and work model
- Remote (US)
- Full-time