Senior GTM Data Scientist
PandaDoc
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Jul 7, 2026
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Jul 21, 2026
What this job asks for AI summary
This role sits at the intersection of data science and go-to-market strategy, focused on building and maintaining predictive models — including customer lifetime value, attribution, and propensity models — to support Sales, Marketing, and Customer Success teams. The work also involves designing and analyzing controlled experiments, developing KPI frameworks, and translating statistical findings into business recommendations. It suits an applied data scientist with hands-on experience in causal inference, ML modeling, and SaaS GTM analytics.
Senior level · 4+ years · Remote · Bachelor's required
“or” means any one of them counts — you don't need all of them.
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 8,200 people nationally plausibly meet what this posting asks for (data scientists). range 4,950–12,300
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 $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 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
The role is remote-first and aligned to EU time zones, with offices in Kyiv, Warsaw, and Lisbon. The primary work location is outside the US; the US-based flag is set to false. The OTE figure of 'up to $185k' appears to be a USD-denominated figure for non-Poland locations, but the only concrete salary range given is 24,000–29,000 PLN gross/month for Poland — that is the figure captured here.
The degree requirement states a B.A./B.S. is required and a Master's is 'preferred, but not required'; the minimum hard gate is therefore a Bachelor's degree.
Python and R are listed as interchangeable ('Python or R'); Scikit-Learn, pandas, and numpy are explicitly named alongside them in the same requirement and are treated as separate hard-gate skills.
dbt, Airflow, Databricks, and Snowflake are described as 'a strong plus' under Data Pipelining — listed as preferred. Because the JD presents all four as interchangeable options in a single 'or' list, they are each emitted as preferred skills with the others as alternatives.
SaaS domain experience and experience building LTV, attribution, and propensity models are described as 'highly preferred' / 'strongly preferred' — not hard gates — so they are not emitted as skills (they are domain/context qualifiers rather than named technologies or tools).
The alt SOC (15-2031 Operations Research Analysts) reflects the strong GTM analytics, experimentation, and causal inference emphasis alongside the ML modeling work; the primary classification as Data Scientists (15-2051) wins on the ML/predictive modeling framing.
This posting reads as a fully-remote role, so it was scored against the national candidate pool rather than a single metro.
This role's work location reads as outside the US — the candidate pool, comp, and contention benchmarks here are US-only (BLS employment, Adzuna/USAJOBS demand, and certified H-1B wages), so treat them as a rough US reference, not a local market.
Read the full posting
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