FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Senior/Staff Applied Machine Learning Scientist
StackAdapt. Lead the creation and optimization of advanced machine learning algorithms to enhance advertising effectiveness and ROI .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and optimizing machine learning algorithms to improve advertising effectiveness and ROI, with a strong foundation in statistics and optimization. Proficient in coding and data structures, capable of translating ambiguous tasks into actionable steps.
Highest-signal resume keywords
Machine Learning AlgorithmsProduction-Grade ML ModelsStatistical AnalysisData StructuresCollaborative Environment
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningAlgorithm DevelopmentStatistical AnalysisOptimization TechniquesCoding Proficiency
Soft Skills
CollaborationProblem-SolvingAdaptability
Certifications & Qualifications
Masters DegreePhD
Industry Keywords
Advertising EffectivenessROIData PipelinesPrototypingTesting
About the role
Key responsibilities & impact- Lead the creation and optimization of advanced machine learning algorithms to enhance advertising effectiveness and ROI
- Own the end-to-end development of production-grade ML models, writing efficient, scalable code and collaborating with Machine Learning Engineers to deploy and integrate algorithms into live systems
- Drive 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- Highly competitive salary
- Retirement/ 401K/ Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- 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 and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
- Annual bonuses, commissions, equity awards, and a comprehensive benefits package may be available depending on the role