TripleLift
Data Scientist
New York, US•2 months ago
$90K – $120K
data sciencemachine learningpython
Data Science2 months agoRemote
StackAdapt
Senior/Staff Applied Machine Learning Scientist
machine learningdeep learningdata sciencealgorithmsscalabilitystatisticsoptimizationdata pipelinesproduction-grade modelsremote
Key details
Salary
Not specified
Employment type
Full-time
Seniority
Senior
Years experience
3-5
Location
Canada; United States
Full job description
StackAdapt is hiring a Senior/Staff Applied Machine Learning Scientist to join their engineering team. The role involves leading the development and optimization of advanced machine learning algorithms to enhance advertising ROI, owning end-to-end production-grade ML model development, collaborating with engineers to deploy models, and driving prototyping and testing of algorithms using historical data. Candidates should have 3+ years of industry experience, a Masters or PhD in a relevant field, strong skills in statistics, optimization, machine learning, coding, data structures, and algorithms, and the ability to break down ambiguous tasks. The position is full-time and remote, open to candidates in the US or Canada. Benefits include competitive salary, retirement plans, paid time off, health and mental health benefits, work from home reimbursements, training, personal development support, parental leave, and a supportive culture.
What you'll do
- Lead creation and optimization of advanced machine learning algorithms to improve advertising effectiveness and ROI
- Own end-to-end development of production-grade ML models including writing efficient, scalable code
- Collaborate 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
- Lead iterative improvements based on data-driven insights
Requirements
- 3+ years of industry experience
- Masters degree or PhD in Computer Science, Statistics, Operations Research, or related field
- Ability to break down ambiguously defined tasks into actionable steps
- Comprehensive understanding of statistics, optimization, and machine learning
- Proficient in coding, data structures, and algorithms
- Enjoy working in a friendly, collaborative environment
Tech stack
machine learningdeep learningdata pipelinesscalable codealgorithmsstatisticsoptimizationdata structures
Benefits
Highly competitive salaryRetirement/401K/Pension savings globallyCompetitive paid time off including birthdays offComprehensive mental health care programHealth benefits from day oneWork from home reimbursementsOptional global WeWork membership (London and Toronto hubs)Robust training and onboarding programSupport for personal development initiatives (conferences, courses, books)Access to StackAdapt programmatic courses and certificationsParental leave programFriendly, welcoming, and supportive cultureSocial and team events
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