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Senior/Staff Data Scientist
StackAdaptJob Summary
StackAdapt is seeking a talented Data Scientist to join their engineering team. As a remote-first company, the ideal candidate will lead the creation and optimization of advanced machine learning algorithms to enhance advertising effectiveness and ROI. The role involves developing production-grade ML models, prototyping innovative algorithms, and driving iterative improvements based on data-driven insights. The successful candidate should have 3+ years of industry experience, a Master's degree or PhD in Computer Science, Statistics, Operations Research, or a related field, and proficiency in coding, data structures, and algorithms. StackAdapt offers a competitive salary, equity, comprehensive benefits, and opportunities for growth and development.
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 advertising effectiveness and ROI using deep ML expertise.
- Own the end-to-end development of production-grade ML models: write efficient, scalable code and collaborate with Data Engineers to deploy and integrate algorithms into live systems.
- Drive the prototyping and rigorous testing of innovative algorithms and data pipelines using historical data to validate performance and scalability; lead iterative improvements based on data-driven insights.
What you'll bring to the table:
- 3+ years of industry experience
- Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
- Have the ability to take an ambiguously defined task, and break it down into actionable steps
- Have a comprehensive understanding of statistics, optimization and machine learning
- Are proficient in coding, data structures, and algorithms
- Enjoy working in a friendly, collaborative environment with others
StackAdapters enjoy:
- Competitive salary + equity
- 401k/RRSP matching
- 3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off
- Access to a comprehensive mental health care platform
- Health 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
- Mentorship opportunities with industry leaders
- An awesome parental leave policy
- A friendly, welcoming, and supportive culture
- Our social and team events!