Stackadapt

Senior Data Scientist, Mobile App User Acquisition (copy)

Job Description

We're looking to add Senior Data Scientist, Mobile App User Acquisition to our data science team! This team works on solving complex problems for StackAdapt's mobile in-app advertising platform. You'll be working directly with our data scientists, data engineers, Product & Engineering team on building pipelines and ad optimization models. With databases that process millions of requests per second, there's no shortage of data and problems to tackle.

Want to learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/ 
Learn more about our team culture here: https://www.stackadapt.com/careers/data-science
Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU 

StackAdapt is a Remote First company, and we are open to candidates located anywhere in North America for this position.


What you'll be doing:
  • Lead the creation and optimization of advanced machine learning algorithms—from developing new methods to refining existing techniques—to enhance mobile advertising effectiveness, user acquisition strategies, and ROI using deep ML expertise.
  • Own the end-to-end development of mobile-focused production-grade ML models: write efficient, scalable code and collaborate with Data Engineers to deploy and integrate algorithms into live systems, ensuring seamless interaction with MMPs, ad networks, and attribution platforms.
  • Drive the prototyping and rigorous testing of innovative algorithms and mobile acquisition data pipelines using historical data to validate performance and scalability; lead iterative improvements based on data-driven insights, optimizing CPI, LTV, and retention metrics.

    • What you’ll bring to the table:
  • 3+ years of industry experience in data science or machine learning
  • A Master’s degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
  • The ability to take an ambiguously defined task and break it down into actionable steps, leveraging data-driven insights.
  • A comprehensive understanding of statistics, optimization,, and machine learning techniques to drive performance improvements.
  • Proficiency in coding, data structures, and algorithms, with hands-on experience working with large datasets.
  • Working knowledge of mobile user acquisition strategies and a solid understanding of programmatic advertising, including attribution models, ad exchanges, and bidding dynamics.
  • A passion for working in a friendly, collaborative environment, partnering with cross-functional teams to drive business impact.

    • StackAdapters Enjoy:
  • Your Talent Business Partner will include the benefits that are offered in the location indicated
  • Here is an example of what it would look like for the US:
  • Highly competitive salary
  • RRSP/401K matching
  • 3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off
  • Access to a comprehensive mental health care platform
  • Full benefits from day one of employment
  • Work from home reimbursements
  • Optional global WeWork membership for those who want a change from their home office
  • Robust training and onboarding program
  • Coverage and support of personal development initiatives (conferences, courses, etc)
  • Access to StackAdapt programmatic courses and certifications to support continuous learning
  • An awesome parental leave policy
  • A friendly, welcoming, and supportive culture
  • Our social and team events!

    • Apply Now
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