Data Scientist

Gameplay Galaxy is the team behind Trial Xtreme, one of the world’s leading bike racing mobile games with over 300 million downloads!

Building on that incredible success, and supported by $24 million in funding, we’re excited to work on our new game, Trial Xtreme Freedom. With this project, we aim to transform the gaming landscape through innovative blockchain technology and engaging, immersive gameplay.

What are you working on?

• The name of the project(s): Trial Xtreme Freedom
• At what stage of the project(s)? Our game is currently in development, having been soft launched in some countries already!
• Genres: Racing, Sports
• Platforms: Mobile, iOS, Android

Team size and structure?

We’re a fully remote and diverse team of around 55 talented individuals based in more than 20 different countries

For which tasks (responsibilities)?

• You'll be working on hands-on development and refinement of LTV and ROAS predictive models to optimize marketing spend.

• You'll maintain and improve SKAN ETL pipelines, ensuring accurate collection and analysis of post-install metrics to inform marketing strategy​.

• You'll analyze marketing KPIs like CAC, CTR, ROAS, and conversion rates, delivering actionable insights to drive campaign performance.

• You'll collaborate cross-functionally with marketing, product, and data engineering teams to identify data needs and strategies​.

• You'll design and implement A/B tests for user acquisition campaigns, measuring impact and optimizing channels.

• You'll create dashboards and reports to visualize marketing performance and trends, communicating insights to non-technical stakeholders​.

• You'll proactively drive the evolution of marketing analytics by identifying data-driven opportunities and building foundational analytics processes.

What kind of professional are we looking for?

• 2-3+ years of experience in marketing data science or analytics (preferably in mobile gaming or apps).

• Proficiency in SQL, Python (or R), with a strong background in building and deploying LTV/ROAS prediction models.

• Experience working with SKAN and marketing attribution tools​.

• Strong understanding of key marketing metrics such as CAC, ROAS, LTV, and engagement metrics.

• Experience in machine learning techniques (e.g., regression, classification) for building predictive models.

• Experience in A/B testing and statistical analysis.

• Proven ability to work independently and drive projects autonomously in a fast-paced environment​.

• Familiarity with BI tools such as Metabase, Looker, or Tableau.

Why do we enjoy working here?

• You’ll be able to make an impact, to work closely with the rest of the team and its leads to work on one of the most promising upcoming games in the mobile gaming industry and the Web3 space.

• You’ll have a comfortable work schedule and stable workload. With a variety of tasks that will allow your constant professional development.

• We want our team to grow personally and professionally and support learning opportunities, especially with a focus around new AI tools and methods. 

• We have a culture that puts our people first. We believe in open communication, creativity and the value of unique contributions from everyone in the team.

What are the conditions and bonuses?

• We’re 100% remote, work wherever you want forever!

• We offer unlimited holidays and sick days. Take as much time off as you need, to spend time with your family and friends or just because you feel like playing games all day. We trust our team and want to offer a modern work life balance that allows you to thrive both at work and in your personal life.

• We offer a competitive salary in addition to equity option plans.