Gaming Data Scientist- Blitz

Job summary

Responsibilities

This role sits at the intersection of the Data and Gaming teams. You'll be the analytical partner to game designers and product managers, owning the measurement and tuning of the games themselves — from difficulty and game parameters to matchmaking fairness and the in-game economy.

• Own the A/B testing cycle for games and game parameters — designing experiments, validating changes, and reading out results that drive core KPIs (engagement, RTP, rake…
• Analyze and calibrate game parameters — difficulty, scoring, completion rates, seed selection, and payout structures — to hit target player experience and economic goals.
• Translate analyses into clear, actionable recommendations that shape game design and the product roadmap.
• Build simulations and prototypes to pressure-test parameter and economy changes before rollout, then monitor them live once shipped.
• Collaborate closely with game designers and engineers to embed data-driven decisions across the full game lifecycle.

What they're looking for

• 3+ years in analytical roles, ideally within gaming or a data-intensive product environment, comfortable working directly with product and design teams.
• Skilled in SQL and Python; experience with large, complex datasets.
• Strong grasp of A/B testing and statistical methods.
• Comfortable with simulation and modeling to reason about game parameters, difficulty, and game economy outcomes.
• Thrives in a fast-paced environment with rapid iteration.

Tech stack

• SQL
• Python