TripleLift
Data Scientist
New York, New York, United States•19 days ago
$90K – $120K
data sciencemachine learningpython
Data Science263 days agoRemote
StackAdapt
Senior/Staff Applied Machine Learning Scientist
machine learningdata sciencescalable systemsalgorithmsstatisticsoptimizationdata pipelinesproduction ML modelsremoteUK
Key details
Salary
Not specified
Employment type
Full-time
Seniority
Senior
Years experience
3-5
Location
United Kingdom
Full job description
StackAdapt is hiring a Senior/Staff Applied Machine Learning Scientist to join their engineering team in the UK. The role involves leading the development and optimization of advanced machine learning algorithms to improve advertising effectiveness and ROI. Responsibilities include end-to-end development of production-grade ML models, collaboration with Data Engineers for deployment, prototyping and testing algorithms and data pipelines, and leading iterative improvements based on data insights. Candidates should have 3+ years of industry experience, a Masters or PhD in a relevant field, strong coding skills, and a solid understanding of statistics, optimization, and machine learning. The position is full-time and remote within the UK. Benefits include competitive salary, retirement plans, paid time off, 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 enhance advertising effectiveness and ROI
- Own end-to-end development of production-grade ML models including writing efficient, scalable code
- Collaborate with Data 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 a 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 learningdata structuresalgorithmsdata pipelinesscalable code
Benefits
Highly competitive salaryRetirement/401K/Pension Savings globallyCompetitive paid time off packages including birthdays offAccess to a comprehensive mental health care programHealth benefits from day one of employmentWork 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
Apply now
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