Similar Jobs

Jerry

Data Scientist

Yesterday

In-Office or Remote

Junior

Artificial Intelligence • Automotive • Machine Learning • Financial Services

Own end-to-end data science for growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; communicate insights; and drive data-informed decisions and measurable business outcomes with cross-functional stakeholders.

Top Skills: ClickhouseGitJupyterhubMetabasePythonSQL

Jerry

Data Scientist

Yesterday

In-Office or Remote

Junior

Artificial Intelligence • Automotive • Machine Learning • Financial Services

Own end-to-end data science for growth, product, AI and automation, or strategic partnerships. Define business questions, metrics, reports, analyses, and experiments; generate actionable insights; and influence product, growth, finance, and operations leaders. The role requires independent problem solving, strong SQL or Python skills, clear communication, and ownership of ambiguous, high-impact initiatives.

Top Skills: ClickhouseGitJupyterhubMetabasePythonSQL

Jerry

Data Scientist

Yesterday

In-Office or Remote

Junior

Artificial Intelligence • Automotive • Insurance • Software

Owns end-to-end data science for growth, product, AI and automation, or strategic partnerships. Responsibilities include defining business problems, developing metrics and reports, analyzing data, designing experiments, communicating insights, influencing leadership decisions, and driving measurable business outcomes. Requires strong SQL or Python skills, independent analytical ability, comfort with ambiguity, persuasive communication, and ownership of strategic initiatives.

Top Skills: ClickhouseGitJupyterhubMetabasePythonSQL

We are looking for a data-driven problem solver with strong statistical expertise to join our growing data science team. In this role, you’ll play a pivotal part in driving product innovation through rigorous experimentation, measurement, and insight generation. You'll collaborate with engineers, designers, and product managers to guide strategic decisions that impact millions of users.

Responsibilities

Design and evaluate controlled experiments (A/B tests) and quasi-experiments to inform product and business decisions.
Build and maintain automated pipelines for experiment tracking, analysis, and reporting.
Identify metrics, set success criteria, and quantify trade-offs in product features and changes.
Partner with cross-functional teams to embed a culture of data-informed decision-making.
Present findings to stakeholders with clarity, making statistical results actionable for the business.

Qualifications

Bachelor’s in Statistics, Data Science, Computer Science, or related field.
2+ years of experience in product analytics, experimentation, or applied statistics.
Solid knowledge of statistical inference, hypothesis testing, power analysis, and regression models.
Proficient in SQL and Python (or R), with experience analyzing large-scale data.
Strong data visualization skills; able to tell compelling stories with data.
Experience working closely with product or engineering teams in fast-paced environments.

Bonus Points

Experience with experimentation platforms or custom A/B testing frameworks.
Familiarity with online metrics, feature rollouts, or cohort-based analyses.
Exposure to techniques such as CUPED, variance reduction, or sequential testing.

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