Gaming Data Scientist

About the role

The role centers on owning the A/B testing cycle for games and game parameters, where you will design experiments, validate changes, and read out results that drive core KPIs such as engagement, RTP, rake, fairness, and retention. You will analyze and calibrate game parameters including difficulty, scoring, completion rates, seed selection, and payout structures to hit target player experience and economic goals while maintaining balance. A key part of the role is translating complex analyses into clear actionable recommendations that directly shape game design and the broader product roadmap. You will build simulations and prototypes to pressure-test parameter and economy changes before rollout, then monitor live performance once changes are shipped to ensure they meet expectations. Collaboration with game designers and engineers is central, as you embed data-driven decisions across the full game lifecycle from concept to live operations. You will also build and maintain dashboards and reports that align the Gaming and Data teams on critical game and economy metrics, ensuring transparency and shared understanding. This position requires a player-first mindset with deep curiosity about games, player behavior, and game balance, driving decisions that enhance both fun and fairness.

Key facts

What you'll do

• Own A/B testing cycle for games and game parameters; design experiments, validate changes, and read out results driving KPIs (engagement, RTP, rake, fairness, retention).
• Analyze and calibrate game parameters such as difficulty, scoring, completion rates, seed selection, and payout structures to hit target player experience and economic goals.
• Translate analyses into clear actionable recommendations shaping game design and product roadmap.
• Build simulations and prototypes to pressure-test parameter and economy changes before rollout, then monitor live once shipped.
• Collaborate with game designers and engineers to embed data-driven decisions across the full game lifecycle.
• Build and maintain dashboards and reports aligning Gaming and Data teams on critical game and economy metrics.
• Own A/B testing cycle for games and game parameters; design experiments, validate changes, and read out results driving KPIs (engagement, RTP, rake, fairness, retention).
• Analyze and calibrate game parameters such as difficulty, scoring, completion rates, seed selection, and payout structures to hit target player experience and economic goals.
• Use statistical modeling and simulation to evaluate risks and trade-offs of different game designs under various scenarios.
• Partner with product managers to define success metrics and guardrails for new game features and live operations changes.
• Implement experiments in production environments, ensuring proper targeting, randomization, and data quality.
• Conduct deep dives into player segmentation analysis to uncover behavioral drivers and opportunities for optimization.
• Maintain robust data pipelines and analytical frameworks that support timely and accurate decision-making.
• Communicate insights to both technical and non-technical stakeholders through clear storytelling and concise presentations.

Requirements

• + years in analytical roles, ideally within gaming or data-intensive product environment.
• Skilled in SQL and Python; experience with large complex datasets.
• You need Strong grasp of A/B testing and statistical methods.
• Comfortable with simulation and modeling for game parameters difficulty and game economy outcomes.
• You need Thrives in fast-paced environment with rapid iteration.
• Player-first mindset with curiosity about games player behavior and game balance.
• Strong understanding of mobile gaming business models and monetization mechanics.
• Experience working with game telemetry and event-based data structures.
• Ability to manage multiple priorities and deliver reliable results under tight deadlines.
• Willingness to work closely with cross-functional teams including design, engineering, and product.
• Critical thinker who questions assumptions and validates findings through data.
• Comfortable using version control and data tooling common in engineering workflows.
• Commitment to maintaining high standards of data integrity, reproducibility, and documentation.

Skills & tools

You will use SQL. You will use Python. You will use A/B testing. You will use simulation. You will use modeling.

Practical notes

Note: onsite workplace; remote days on Fridays.

About the company

Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees from 40+ nationalities, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta.