Senior Data Scientist – Growth

Posted 22 hours ago

This is a fully remote position, open to applicants in United States, +4 more locations.

πŸ“‹ Description

β€’ Collaborate with leaders in Growth product, design, engineering, and marketing to pinpoint significant business questions and influence development priorities.

β€’ Manage the entire growth funnel, from initial visit to signup, approval, activation, and retention.

β€’ Create metrics, driver trees, and narratives that illustrate growth performance.

β€’ Assess opportunities and assist in prioritizing the Growth roadmap and annual planning.

β€’ Design, analyze, and convey the results of A/B tests and quasi-experimental methodologies.

β€’ Adjust analyses from quick, directional insights to thorough evaluations based on the stakes of decisions.

β€’ Work alongside Data Scientists, Data Engineers, and Analytics Engineers to develop reliable, self-service growth metrics.

β€’ Present findings and recommendations to audiences across all levels, including executives.

β€’ Contribute to shaping how Mercury attracts, activates, and retains customers in both business and personal banking.


⛳️ Requirements

β€’ Over 6 years of experience in data science, product analytics, or growth analytics, with at least 3 years of close collaboration with product growth teams.

β€’ Strong understanding of product dynamics and a history of influencing product direction, including instances where your contributions altered the team's output.

β€’ Extensive experience in experiment design and analysis, as well as in funnel, cohort, and retention analysis.

β€’ Proficient in SQL and a statistical programming language (e.g., Python, R).

β€’ Familiarity with product analytics and BI tools such as Amplitude, Hex, Omni, or similar platforms.

β€’ Knowledge of Snowflake and dbt is a plus.

β€’ Ability to navigate ambiguity and respectfully challenge senior stakeholders with evidence-based arguments.

β€’ Excellent communication skills, with the ability to tailor messages for both technical and non-technical audiences.

β€’ Preferred: experience in consumer or SMB fintech, or in mobile product analytics.


🏝️ Benefits

β€’ Competitive base salary.

β€’ Equity options (stock options/RSUs).

β€’ Comprehensive benefits package.

β€’ Commitment to Equal Employment Opportunity.

β€’ Reasonable accommodations provided during the recruitment process for applicants with disabilities or special needs.

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