Senior / Staff Data Scientist, Growth Product at Suno
New York City, NY
$240,000–$300,000
Jul 12, 2026
New York City, NY
Jul 21, 2026
What this job asks for AI summary
A data science role focused on the early stages of the user lifecycle at an AI music platform. The position owns analytics and experimentation for new-user activation — covering onboarding, first sessions, and habit formation — and works closely with product, engineering, and design teams. It suits an experienced data scientist with a strong background in consumer product analytics, end-to-end experiment design, and statistical modeling.
Senior level · 5+ years · Boston-Cambridge-Newton, MA-NH · Full-time
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 880 people in the Boston-Cambridge-Newton, MA-NH area plausibly meet what this posting asks for (data scientists). range 660–1,150
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $134,944 (middle half $104,979–$169,773).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The posting does not name a specific city, but Suno is headquartered in Cambridge, MA; the role requires 5 days/week in-office, so the CBSA is inferred as Boston-Cambridge-Newton, MA-NH.
The title carries no seniority modifier ('Data Scientist on Growth Product'), so the title states no level; however, the 5-7+ years requirement and end-to-end experiment ownership support a Senior classification.
No base salary range is disclosed; the posting only mentions 'competitive equity packages' and 'comprehensive benefits'.
The alt SOC (15-2031 Operations Research Analysts) is noted because the role has a strong product analytics / experimentation flavor, but the explicit 'data science' framing and statistical modeling emphasis make 15-2051 the better fit.
'Hands-on AI usage in day-to-day data science work (agents, prompting, building small tools)' is listed under Nice-to-Haves and is marked preferred accordingly.
Experimentation / A/B testing is captured under 'A/B testing' as the canonical name for the 'designing and running experiments end to end' requirement stated in the Must-Haves section.
No specific degree is required; the JD does not mention any educational credential.
Read the full posting
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