Job Description

A fast-growing, product-led technology company operating in the SaaS/consumer digital products sector, focused on data-driven product development and growth. The role sits within a cross-functional product organization that uses experimentation and advanced analytics to shape roadmap and improve user engagement, monetization, and retention.

Primary standardized title: Product Data Scientist (On-site, NYC)

Role & Responsibilities

Design, run, and analyze product experiments (A/B tests) end-to-end to measure feature impact and inform prioritization.
Partner closely with product managers and engineers to translate product questions into measurable hypotheses, metrics, and instrumentation plans.
Build and maintain product analytics pipelines and dashboards to track acquisition, activation, engagement, and retention funnels.
Apply causal inference and statistical methods to estimate treatment effects, guard against bias, and ensure experiment reliability.
Develop predictive and segmentation models to identify high-value user cohorts and inform personalization strategies.
Communicate results and recommendations clearly to non-technical stakeholders; influence roadmap with data-backed insights.

Skills & Qualifications

Must-Have

Python
SQL
A/B testing
Experiment design
Causal inference
Product analytics

Preferred

BigQuery
Looker
Snowflake

Qualifications

Bachelor's or advanced degree in Statistics, Computer Science, Economics, Mathematics, or related quantitative field (or equivalent practical experience).
Proven experience in product analytics or data science roles supporting product teams—comfortable owning experiments, metrics, and end-to-end analysis.
On-site in New York City (this role requires presence in the NYC office).
Strong ability to translate complex analysis into concise, stakeholder-facing recommendations and to partner with PMs and engineers on rollout and instrumentation.

Benefits & Culture Highlights

Collaborative, product-focused environment where data-driven recommendations directly shape product roadmap.
Opportunity to work on high-impact experiments and analytics at scale in an on-site NYC team.

This Product Data Scientist role is ideal for analytically rigorous candidates who enjoy designing experiments, building product metrics, and partnering with product and engineering teams to drive measurable user and business outcomes. The position is on-site in New York City and emphasizes experimentation, causal inference, and product-first analytics.

Skills: experiment design,a/b testing,python,sql,causal inference

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