Boston, MA

Salary
$100,000–$150,000from the description
Posted
Jul 20, 2026
Location
Boston, MA
Last confirmed open
Jul 22, 2026

What this job asks for AI summary

A data science role embedded within product teams — spanning AI, algorithms, hardware, and healthcare — focused on designing and analyzing experiments, building measurement frameworks, and modeling user behavior. The work centers on translating ambiguous product questions into actionable, data-driven recommendations. Suited to candidates with 2–6+ years in quantitative roles who have owned metrics end-to-end and are comfortable with advanced SQL and causal inference methods.

Mid level · 2+ years · Boston-Cambridge-Newton, MA-NH · Full-time

Must have (3)
SQLA/B testingcausal inference
Nice to have (4)
Snowflake, BigQuery or RedshiftdbtHex, Sigma, Looker or AmplitudePython or R

“or” means any one of them counts — you don't need all of them.

Posted 2 times — it's one opening, so apply once.

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 15 people in the Boston-Cambridge-Newton, MA-NH area plausibly meet what this posting asks for (operations research analysts). range 9–25

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What gives you an edge
causal inference4%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
SQL78%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $102,914 (middle half $83,957–$136,620). 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 (5)

The posting uses the title 'Data Scientist' but the role's primary day-to-day work — A/B experimentation, KPI frameworks, product analytics, and self-serve reporting — aligns more closely with Operations Research/Product Analytics (15-2031) than with ML/modeling-heavy Data Science (15-2051). The alt code 15-2051 is noted because the team context (AI, Algorithms) and the 'Data Scientist' title introduce genuine ambiguity.

The experience range is stated as '2–6+ years,' and the posting explicitly says they are hiring across levels. Seniority is assessed as Mid given the lower bound of the stated range and the framing of the role as one that can be filled at multiple levels.

Advanced SQL is described as 'table stakes,' making it a hard gate. A/B testing and causal inference are core responsibilities framed with firm language throughout the requirements section.

Snowflake, dbt, visualization tools (Hex, Sigma, Amplitude, Looker), and Python/R are all listed under the 'technically sharp' section with explicit 'is a plus' or 'valued but not required' qualifiers — treated as preferred.

The role is office-based in Boston, MA; relocation may be required. It is not remote.

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