Sr. Data Scientist - Forecasting at Lyra Health
$128,000–$176,000
Jul 27, 2026
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Jul 29, 2026
What this job asks for AI summary
A Senior Data Scientist role at a digital mental health company, focused on building and maintaining forecasting models to predict member demand, care utilization, and provider network capacity. The work is cross-functional, partnering closely with Finance, Operations, Sales, and Customer Success teams. Candidates should have a strong background in time series forecasting, statistical methods, Python, and SQL, with the ability to translate business questions into end-to-end analytical projects.
Senior level · 5+ years · Remote · Full-time
Pay in the description: $128,000–$176,000
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How this req sits in the market our data
Roughly 22,600 people nationally plausibly meet what this posting asks for (data scientists). range 8,300–29,300
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 29, 2026. It is a model, not a headcount.
Why we read it this way (8)
The posting is titled 'Sr. Data Scientist' but the body describes the search as for a 'full-stack Forecasting Data Scientist' — the senior level is confirmed by the title and compensation range.
An MS in a quantitative field (statistics, econometrics, biostatistics, quantitative social sciences) is stated as preferred, not required, and the posting does not hard-gate on a degree; degree requirement is set to None accordingly.
Business forecasting and time series experience are listed under 'Desired Skill Sets/Experience' with a 'preference for' framing, but given the role is explicitly titled a Forecasting Data Scientist and these are central to the job description, they are treated as hard requirements.
Tableau is listed with 'or similar dashboarding tools,' so common alternatives are included.
Interest in public health is explicitly called 'a plus' and is omitted as it names no concrete technology.
The posting does not specify a work location beyond Lyra's Bay Area headquarters; the role appears to be remote-eligible based on the compensation structure and absence of an office requirement, but this is not explicitly confirmed.
The alt SOC (15-2031 Operations Research Analysts) is noted because the role has a strong business forecasting and operations analytics orientation, though the statistical modeling and Python emphasis tips it toward Data Scientists (15-2051).
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): time series modeling.
Read the full posting
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