Help us maintain the quality of our job listings. If you find any issues with this job post, please let us know.
Select the reason you're reporting this job:
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.
We’re a fully remote and diverse team of around 55 talented individuals based in more than 20 different countries, bringing together unique perspectives that drive our innovation.
Why you’ll love working with us:
* Enjoy the flexibility of working remotely from anywhere!
* We offer a competitive salary along with equity options, ensuring you’re rewarded for your hard work.
* Join a great environment where you can collaborate with exceptional people who value open communication, creativity, and the unique contributions of every team member.
* Enjoy unlimited holidays and sick days—we trust our team and prioritize a healthy work-life balance.
* Make a significant impact on a groundbreaking game.
* We’re committed to your growth, offering learning opportunities, especially in new AI tools and methods.
Ready to join the race?
We’re seeking a highly skilled Data Scientist to join our analytics team, driving performance optimization and providing strategic insights. You will be responsible for developing and refining LTV, ROAS prediction models, and working with SKAdNetwork (SKAN) data to enhance user acquisition and marketing efficiency. This is a hands-on role where you’ll also lead the development of foundational marketing analytics systems.
All The Responsibilities We'll Trust You With
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 You'll Bring To The Team
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 You'll Love Working With Us
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.
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.
We offer a competitive salary in addition to equity option plans.
Required profile
Experience
Level of experience:Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.