Jobgether

Staff Data Scientist - Experimentation & Causal Inference

US · Staff+

Sponsorship not specifiedDetected 1 day ago

PythonData StructuresSQLMachine LearningData ScienceStatisticsA/B TestingComplianceCRMLeadershipCommunication

About the role

This role offers the opportunity to define how a rapidly scaling technology organization learns from data and makes high-impact product decisions.
Working across product, analytics, engineering, and leadership teams, you will translate complex statistical insights into clear business recommendations.
This is a hands-on individual contributor role with significant influence, executive visibility, and the opportunity to shape a growing data science function.

Career growth opportunities, including the potential to help build and scale a future data science team.

The ideal candidate has extensive experience in data science, applied statistics, and product experimentation, with the ability to operate as a strategic technical leader in a fast-moving technology environment.
Strong communication skills and the ability to elevate teams through influence are essential.
9+ years of experience in data science, product analytics, applied statistics, or related fields.
Practical expertise in causal inference and the ability to distinguish true causal impact from bias, seasonality, selection effects, and other data limitations.
Experience working in small-sample, high-velocity, multi-product environments where experimentation requires thoughtful judgment.
Strong SQL skills and professional experience with Python or R.
Ability to influence product managers, analysts, engineers, and executives without direct authority.
Strong communication skills with the ability to explain technical concepts clearly to both technical and non-technical audiences.

Familiarity with experimentation platforms such as Statsig is a plus.
Background in B2B SaaS, CRM, product-led growth, multi-tenant platforms, or marketplace environments is preferred.

Collaborative environment that values innovation, autonomy, experimentation, and continuous learning.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?

This listing is sourced directly from Jobgether's careers page and normalized into a canonical job model.