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Fluent, Inc logo
Fluent, Inc

Simplify the way you find customers with Fluent. Enabling advertisers to identify, win, and build their customer base.

Engineering Manager – Data Science, AdTech

Engineering ManagerEngineering ManagerOtherRemoteSeniorTeam 201-500H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

116 days ago

Salary

$160K - $225K / year

Seniority

Senior

Bachelor Degree5 yrs expEnglishPythonPyTorchscikit-learn

Job Description

Engineering Manager – Data Science, AdTech

Fluent, Inc

• 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.

Job 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.
  • Nice-to-Haves: Ad tech, marketing tech, or performance marketing modeling experience.

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
  • The amazing opportunity to work for a high-flying performance marketing company!

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