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Data Scientist - Game Analytics
TW Group, Inc.
- United States
- United States
À propos
Games generate mountains of data - player behavior, progression curves, economies, feature experiments, live ops events. The challenge isn't collecting it. It's
turning it into decisions that make games more fun, more engaging, and more profitable .
We're looking for a
gaming-savvy data scientist
who can uncover player insights, balance competing KPIs, and help shape game design using evidence - not guesswork. If you enjoy digging into player funnels, A/B test results, and economy models to answer "why did players do that?" - you'll fit right in.
What You'll Do (Your Day-to-Day in Game Terms) Analyze
player behavior, engagement, retention, monetization, and progression
across our games Design and maintain
dashboards
that track live game performance and guide real-time decisions Partner closely with
Game Designers, Product, Live Ops, and Game Intelligence teams
to embed data into design and operational choices Define and evolve
core game KPIs
(DAU/MAU, ARPDAU, LTV, churn, conversion, feature performance) Lead
A/B tests and experiments
to evaluate features, balancing changes, and live ops events Translate complex player data into
clear insights and narratives
that non-data teammates can act on Help drive a culture where
data informs game design - without killing creativity Stay current on
game analytics trends, tools, and best practices Nice-to-Haves (a.k.a. "You'll impress us if you bring these"):
Building predictive models for
churn, LTV, player segmentation, or personalization Advanced statistical modeling or simulation for game economies and feature impact What You Bring to the Table
Bachelor's degree in
Statistics, Applied Mathematics, Computer Science, or a related field Hands-on experience with
A/B testing, experimentation, and feature analysis Strong problem-solving skills and comfort working in
ambiguous, real-world game scenarios 4+ years of industry experience
in data science, analytics, ML, or predictive modeling (preferred) Experience applying
machine learning or AI
where it actually adds value (not just because it's cool) Master's degree preferred for senior-level candidates Highly preferred:
experience working with
online gaming datasets , especially
slot or casino-style games Your Analytics Toolkit
Data & BI tools:
SQL, Snowflake, Tableau, Power BI, Excel Programming & analysis:
Python, R, Java, SAS Machine learning & AI platforms:
TensorFlow, Azure ML Studio, or similar Strong foundation in
statistics, data mining, pattern recognition, and predictive modeling Why Gaming Data Scientists Like This Role
Your insights directly influence
game design, player experience, and revenue outcomes You'll work alongside designers and product leaders who
actually want data at the table You'll analyze
live games with real player impact , not abstract datasets You'll help balance the art and science of game development
If you love games, think in funnels and cohorts, and enjoy turning player data into smarter design decisions - we'd love to hear from you.
Posted On:
Tuesday, January 6, 2026 Compensation:
$110,000.00
Compétences linguistiques
- English
Avis aux utilisateurs
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