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Data Scientist

Remote:

Full Remote

Experience:

Mid-level (2-5 years)

Work from:

United States

Offer summary

Qualifications:

2-3+ years in marketing data analytics, Proficient in SQL and Python (or R), Experience with SKAN and marketing metrics, Knowledge of machine learning techniques.

Key responsabilities:

Develop LTV and ROAS predictive models
Analyze marketing KPIs and deliver insights

Gameplay Galaxy Small startup http://gameplaygalaxy.com/

51 - 200 Employees

See all jobs

Job description

Department: Data

Employment Type: Full Time

Location: Remote

Description

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.