Gameplay Research Analyst — UX & Monetization

We're looking for a sharp, product-savvy Gameplay Research Analyst to own the intersection of player experience and business impact in a skill-based real-money solitaire game.

You’ll work on gameplay systems where every change affects not only engagement and satisfaction—but also player incentives, win dynamics, and real-money outcomes. Your job is to design, test, and optimize these systems: tuning reward pacing, matchmaking logic, win-rate distribution, and progression structure to balance fairness, excitement, and monetization.

This is not a traditional data science role. We’re not building neural networks—we’re designing algorithms and simulations that optimize real-world gameplay for skill-based RMG. You'll collaborate closely with product, design, and engineering to improve live player outcomes and key business metrics like LTV, retention, and game-level profitability.

What are you working on?

• The name of the project(s): EasyWin Solitaire

For which tasks (responsibilities)?

• Run simulations and model in-game mechanics (e.g. reward curves, win-rate pacing, session structure)

• Design and analyze AB tests that optimize both UX and monetization

• Work on systems like RTP balancing, streak design, and level flow

• Spot behavioral patterns in live data and translate them into experiments or policy changes

• Collaborate with product managers and game designers to create new features or adjust tuning based on result

What kind of professional are we looking for?

• 3+ years of experience in product analytics, game economy, or research analysis roles

• Strong background in statistical modeling, simulations, or experiment design

• Proficiency with SQL and Python for analysis, and confidence building models from scratch

• Comfortable working with uncertainty, proposing hypotheses, and iterating fast

• Experience in game, gambling, or behavioral UX environments is a plus

• Clear communicator who can explain tradeoffs and model results to product and design teams

What is important for us in a person?

• Worked with progression systems or in-game reward pacing

• Experience designing or analyzing real-money or probabilistic game systems

• Familiarity with experimentation tooling (Amplitude, Tableau, etc.)

• Knowledge of basic multi-armed bandit or dynamic allocation algorithms

Why do we enjoy working here?

• Build real systems used by thousands of players every day

• Work directly with founders and senior game designers—zero org bloat

• Shape gameplay deeply, from core loops to monetization pacing

• Competitive salary, early-stage equity, flexible remote setup