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About the Role

We are looking for a Product Scientist to join our fast-moving product analytics team. You will own experimentation and data-driven decision-making across our mobile games portfolio, designing and analyzing A/B tests, building user segmentations, uncovering product insights, and directly influencing how millions of players experience our games. You will work closely with product managers, game designers, and engineers to identify opportunities, challenge assumptions, and turn data into product impact. We move fast, ship often, and use AI tools to accelerate analyses and workflows.

Responsibilities

Design, run, and evaluate A/B tests across multiple game titles, ensuring experiments are statistically rigorous and lead to clear, actionable outcomes.
Define and monitor success metrics (retention, monetization, engagement) and build analytical frameworks that drive product decisions.
Perform deep-dive analyses: user segmentation, cohort analysis, funnel breakdowns, and predictive modeling to surface growth and retention opportunities.
Translate business questions into data requirements, working with engineering to ensure proper event tracking and data reliability.
Build dashboards and reports that communicate insights to stakeholders clearly and effectively.
Collaborate with product teams to develop hypotheses, prioritize experiments, and foster a culture of continuous learning and rapid iteration.
Leverage AI tools and automation to speed up analyses, generate insights, and improve team efficiency.

Requirements

2–4 years of experience in product analytics, data science, or a similar quantitative role, ideally in mobile gaming, apps, or a fast-paced tech environment.
Strong A/B testing expertise: ability to design experiments end-to-end, choose appropriate statistical methods, interpret results, and communicate trade-offs.
Proficient in SQL: comfortable writing complex queries and working with large datasets.
Experience with Python or R for data analysis, statistical modeling, and automation.
Segmentation & cohort analysis experience.
Self-starter mentality: thrive with autonomy, take ownership, and execute quickly in a dynamic environment.
Excellent English communication skills (written and verbal).

Skills

A/B testing
SQL
Python
R
Segmentation
Cohort analysis
Data analysis
Statistical modeling
Automation
AI tools

Location

San Francisco

Work Type

Onsite

Experience Level

2-4 years

Education Level

Bachelor's or Master's degree in a quantitative field (statistics, economics, mathematics, computer science, or similar)
Thesis or research experience is a strong plus

Benefits

25 days holiday
Continuous Professional Development
Supplemental Health Insurance (Continentale: annual budget of 1200 eur)
100% Public Transportation reimbursement (BVG ticket)
Employee Assistance Program
Daily Free Lunch (Wolt)
Pension plan (employer contributed)

About the Company

Tripledot Studios is one of the largest independent mobile games companies in the world.
A multi-award-winning organisation with a global 2,500+ strong team across 12 studios.
Portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions and engaging over 25 million daily active users.
Guiding principle: when people love what they do, what they do will be loved by others.
Building a company filled with driven, smart, detail-oriented people who love making games.
Ambition to be the most successful games company in the world.
Lion Studios is a mobile games publisher that works with mobile developers to get their games discovered by players around the world.
Headquartered in San Francisco, Lion Studios’ creative and strategy teams utilize their expertise to help game developers break through the noise and grow their businesses.
Since launching in 2018, Lion Studios has driven 90% of its games to the Top 10 in the App Store and Google Play and helped drive 16 games to #1 in the US App Store’s Top Free chart.