Data Scientist/ Product Analytics

We are looking for a Data Scientist who will play an influential role in guiding product strategy through proactively identifying opportunities, conducting exploratory analyses and sharing insights, and driving learning through experimentation. This person will partner closely with product, engineering, design, and business stakeholders to identify opportunities, define success metrics, analyze user behavior, and turn data into practical recommendations. This role is ideal for a senior individual contributor who enjoys ambiguous problems, can move quickly in a startup environment, and can balance hands-on execution with strategic guidance. What You Will Do

• Help build the long term product strategy by identifying opportunities to attract new users, increase engagement, and drive retention

• Define and maintain clear metrics that help the company understand product health, customer behavior, and business performance.

• Design, analyze, and interpret experiments and quasi-experiments to guide product and investment decisions.

• Build dashboards, recurring reporting, and lightweight self-serve tools that help product and business teams answer common questions faster.

• Create reliable datasets and partner with engineering to improve event tracking, data quality, and analytical foundations.

• Translate complex analyses into clear narratives, recommendations, and tradeoffs for technical and non-technical audiences.

• Partner cross-functionally with product, engineering, design, marketing, and leadership to ensure insights are used in decision-making.

• Mentor other analysts or data scientists as the team grows, and help establish strong practices for metrics, experimentation, and analytical review.

Do you have experience in Statistical modeling?, * 6+ years of experience in data science, product analytics, applied statistics, or a closely related role. More senior experience is welcome.

• Strong SQL skills and experience working with relational databases, event data, and product usage data.

• Hands-on experience with Python or R for analysis, modeling, experimentation, and data visualization.

• Experience defining metrics, building dashboards, and developing analytical frameworks that support product and business decisions.

• Strong understanding of experimentation, A/B testing, causal inference, and common statistical methods used in product decision-making.

• Ability to work independently in ambiguous environments and turn broad business questions into structured analysis plans.

• Strong communication skills, including the ability to explain findings clearly to executives, product managers, engineers, and non-technical stakeholders.

• A practical, startup-oriented mindset with strong ownership, urgency, and a bias toward action.

Preferred Qualifications

• Advanced degree in Statistics, Mathematics, Economics, Computer Science, Operations Research, Physics, or a related quantitative field.

• Experience in consumer products, marketplaces, social platforms, growth, or another data-rich product environment.

• Experience creating analytical roadmaps, leading cross-functional measurement strategy, or advising senior leadership.

• Experience building or improving data pipelines, semantic layers, experimentation platforms, or product analytics infrastructure.

• Experience mentoring analysts or data scientists and raising the quality of analytical work across a team.

• Competitive salary, based on experience, role scope, location, and applicable legal requirements.