Offer summary

Qualifications:

At least 4 years of experience in data science or analytics, preferably in gaming or mobile apps., Strong analytical foundation with a degree in Mathematics, Statistics, Computer Science, or a related field., Proficiency in SQL and Python (or R) with experience in predictive modeling techniques., Solid understanding of statistical methods and familiarity with key game and marketing metrics..

Key responsabilities:

Build and refine LTV and ROAS prediction models to support marketing and product monetization strategies.

Analyze player behavior to identify churn patterns and opportunities for personalization.

Collaborate with game designers and product teams to evaluate game systems and balance.

Design and analyze A/B tests to improve player retention and satisfaction.

Job description

Department: Data

Employment Type: Full Time

Location: Remote

Description

We’re seeking a versatile and hands-on Data Scientist to join our analytics team and help drive performance across the entire game lifecycle—from user acquisition to in-game engagement and monetization. You'll work on a wide range of analytics and modeling challenges, including player behavior analysis, LTV prediction, retention modeling, matchmaking evaluation, and economy balancing.

This is a role with a strong analytical foundation and practical application—ideal for someone excited to impact both gameplay and growth strategy through data.

All The Responsibilities We'll Trust You With

You’ll build and refine LTV and ROAS prediction models to support both marketing and product monetization strategies.
You’ll analyze player behavior to uncover churn patterns, engagement drivers, and opportunities for personalization.
You’ll collaborate with game designers and product teams to evaluate progression systems, level difficulty, and matchmaking balance.
You’ll design and analyze A/B tests for new features, events, or offers to improve player retention and satisfaction.
You’ll build and maintain data models and pipelines (e.g., using SQL, dbt) to support both game and growth analytics.
You’ll create dashboards and automated reports that surface key insights across game health, economy, and acquisition.
You’ll work with marketing teams on attribution (e.g., SKAN) and campaign analysis when needed.
You’ll proactively propose and drive data science initiatives that improve player experience or business performance.

What You'll Bring To The Team

At least 4 years of experience in data science or analytics (gaming, mobile apps, or tech).
Strong analytical foundation, ideally with a degree in Mathematics, Statistics, Computer Science, or a related field.
Proficiency in SQL and Python (or R), and proven experience with predictive modeling (e.g., regression, classification, clustering).
Solid understanding of statistical methods and experimental design (A/B testing, causal inference, etc.).
Familiarity with key game metrics (e.g., DAU, retention, monetization KPIs) and marketing metrics (e.g., LTV, CAC, ROAS).
Proven ability to work independently and drive projects autonomously in a fast-paced environment .
Comfort working with BI tools like Tableau, Looker, or Metabase.
Interest and experience working with LLMs or other generative AI tools, and a passion for exploring how AI can be used to accelerate analytics workflows, insights, or player-facing features.
A proactive and dependable approach, with a track record of taking initiative and following through.
Strong collaboration and communication skills, with a service-oriented mindset and willingness to support teammates directly.
A positive, well-organized work style, focused on team success and delivering high-quality outcomes.

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.

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