Drive ML/AI strategy: audience propensity models, lookalike modeling, and segmentation algorithms that improve campaign performance.
Own ROAS optimization: develop and refine models that maximize return on ad spend for clients.
Build production ML systems: feature engineering, model training, batch/online inference, and serving infrastructure.
Establish MLOps practices: model versioning, monitoring, drift detection, and reproducible training pipelines.
Champion experimentation: A/B testing frameworks, statistical rigor, and data-driven decision making.
Lead and grow the Data Science team: hiring, mentoring, performance management, and career development.
Partner with Product and Client Success to translate business requirements into ML solutions and communicate model capabilities.
Coordinate with Data Platform team to ensure reliable data foundations and feature pipelines for modeling.
Translate complex ML concepts into actionable insights for business stakeholders and executives.
Set technical direction and foster a culture of innovation, rigor, and continuous improvement.

Requirements

5+ years of experience in Data Science or ML Engineering, with at least 2 years managing or leading teams.
Strong ML fundamentals: classification, regression, clustering, and production ML deployment.
Experience with audience/customer modeling: propensity, lookalike, segmentation, or recommender systems.
Production ML experience: not just notebooks — deploying, monitoring, and maintaining models at scale.
Strong Python skills and experience with ML frameworks (scikit-learn, XGBoost, PyTorch, or similar).
Proven people management skills: hiring, mentoring, and developing data science talent.
Excellent communication skills for translating technical concepts to business stakeholders and executives.

Benefits

Competitive compensation
Ample career and professional growth opportunities
New Headquarters with an open floor plan to drive collaboration
Health, dental, and vision insurance
Pre-tax savings plans and transit/parking programs
401K with competitive employer match
Volunteer and philanthropic activities throughout the year
Educational and social events

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningartificial intelligenceaudience modelingpropensity modelinglookalike modelingsegmentation algorithmsmodel trainingfeature engineeringA/B testingproduction ML deployment

Soft Skills

people managementmentoringcommunicationteam leadershipdata-driven decision makingperformance managementcareer developmentinnovationcollaborationtranslating technical concepts