Senior Data Scientist

Summary

Join StackAdapt's data science team as a Senior Data Scientist, Mobile App User Acquisition! This remote-first position, open to North American candidates, focuses on enhancing mobile advertising effectiveness and user acquisition strategies. You will lead the creation and optimization of machine learning algorithms, develop production-grade ML models, and drive the prototyping and testing of innovative algorithms. The role requires 3+ years of experience in data science or machine learning and a Master's degree or PhD in a related field. StackAdapt offers a competitive salary, comprehensive benefits, and a supportive work environment.

Requirements

• 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

Responsibilities

• 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

Benefits

• 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!