Data Scientist

2 Months ago • 2-3 Years • Marketing • Data Analyst • Undisclosed

About the job

Job Description

We're seeking a Data Scientist with 2-3 years of experience in marketing data science, proficient in SQL, Python, and LTV/ROAS prediction models. Experience with SKAN and marketing attribution tools is essential. You'll work on hands-on development and refinement of predictive models to optimize marketing spend.
Must have:
  • Marketing Data Science
  • SQL, Python
  • LTV/ROAS Models
  • SKAN Experience
Good to have:
  • Marketing Attribution
  • Machine Learning
  • A/B Testing
  • BI Tools
Perks:
  • Remote Work
  • Unlimited Holidays

Data Scientist

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.
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About The Company

Gameplay Galaxy is the team behind Trial Xtreme, one of the world’s leading bike racing mobile games with more than 250 million downloads! We’re now ready to take it to the next level following the natural gaming evolution and embracing Web3, Esport and the fast-growing world of UGC with our new game Trial Xtreme Freedom. Exciting, right!? We are optimising the Web3 concepts, capabilities and innovative technologies to create and build massive gaming projects that will become the natural metaverse space for our players, competitive gamers and the Web3 guilds, supported by the biggest brands from all over the world. Learn more about our vision here >> https://medium.com/@gameplaygalaxy/game-first-everything-else-second-ad870c01c5ca We’re a fully remote company and have an experienced and talented team based all over the world. We’re looking for team players that have the will and ability to adapt quickly and smoothly to the fast paced changing environment we are creating and building in. Ready to join the race? Why you’ll love working with us: * We’re 100% remote, work wherever you want forever! * We offer unlimited holidays and sick days. 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 the founders, to work on one of the most promising projects in the Web3 gaming 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 options.

British Virgin Islands (Remote)

British Virgin Islands (Remote)

British Virgin Islands (Remote)

British Virgin Islands (Remote)

British Virgin Islands (Remote)

British Virgin Islands (Remote)

British Virgin Islands (Remote)

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