AdTechTalent
Data Science18 days agoRemote

StackAdapt

Applied Machine Learning Scientist

machine learningdata sciencestatisticsoptimizationalgorithmsproduction codeprogrammaticremote

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Mid-level

Years experience

3-5

Location

North America (Remote)

Full job description

StackAdapt is seeking an Applied Machine Learning Scientist to join their engineering team. The role involves innovating and developing machine learning algorithms to improve advertising performance, writing production code, and prototyping/testing algorithms using historical data. Candidates should have a Masters or PhD in a relevant field, strong skills in statistics, optimization, machine learning, coding, data structures, and algorithms, and the ability to work collaboratively. This is a full-time remote position open to candidates anywhere in North America.

What you'll do

  • Innovate ML algorithms to maximize ROI and advertising performance
  • Create new algorithms and improve state-of-the-art methods
  • Develop ML algorithms with a deep understanding of classic methods
  • Write production code, sometimes collaborating with Data Engineers
  • Prototype algorithms and pipelines, test with historical data, and iterate based on insights

Requirements

  • 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 learningstatisticsoptimizationdata structuresalgorithmsproduction 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 programCoverage and support 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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