Data Scientist I

Santa Monica, California, United States

GumGum is The Mindset Company™ transforming advertising. We’re an advertising technology company delivering results by matching brands with people in the right mindset in the moments that matter. Our platform is powered by the Mindset Graph™, our AI-driven data engine that processes billions of real-time contextual, creative, environmental, and historical signals to match every ad with the most receptive audience. The result is advertising that drives meaningful outcomes for advertisers and publishers, and is more relevant for consumers.

We were founded in 2008 and are headquartered in Santa Monica, California, operating in over 19 markets across North America, Europe, Japan, and Australia.

Our principles guide our work every day and are as follows:

  • Customer-Obsessed: We’re focused on advertising solutions that solve needs and drive success for clients and partners.
  • Make it Happen: We have a bias for action and take ownership to deliver results.
  • Always Innovate: We push boundaries with creativity and technology.
  • Foster Belonging: We ensure colleagues feel included, supported, and empowered to thrive.

To be a part of The Mindset Company™ transforming advertising, please visit www.gumgum.com/careers.

The Data Scientist I supports the development and deployment of Machine Learning (ML), statistical analysis, and Artificial Intelligence (AI) solutions that improve the relevance and value of ads across our Ad Exchange, Contextual Platform, and Attention Measurement Platform. This role focuses on applying strong analytical foundations, building and evaluating ML models, and partnering closely with the Engineering, Product, and Data Science team to improve ad-serving performance and operational decision-making.

The ideal candidate is curious, data-driven, and eager to develop a strong understanding of the advertising domain and the systems that power large-scale decision-making. You will work with large datasets, contribute to production ML systems, and gain hands-on experience across the ML lifecycle — from exploration to monitoring.

Note: GumGum fosters a flexible work environment, offering GumGummers the ability to work either in-office or remotely/from home. For this position, in-person/office collaboration is required 2 days per week, supporting a balanced approach to flexibility and team engagement.

What You'll Achieve

  • Support the translation of business and product requirements into data-driven analyses and ML solutions
  • Partner with Engineering team members and senior Data Scientists to develop, test, and deploy ML models
  • Conduct exploratory data analysis to inform feature development and modeling approaches
  • Query, clean, and structure large datasets using SQL, Spark, and cloud data platforms
  • Train, evaluate, and iterate on ML models under guidance from senior team members
  • Contribute to existing MLOps workflows for model training, deployment, and monitoring
  • Help define and track Key Performance Indicators in our Business Intelligence tools to measure model performance and downstream impact
  • Document analyses, models, and learnings to support knowledge sharing across the team
  • Continuously learn new ML techniques, tools, and advertising-domain concepts

Skills You'll Bring

  • Bachelor’s degree in Statistics, Mathematics, Physics, Economics, Computer Science or a related quantitative or technical field
  • 1–2+ years in a data-driven role (Analytics, Data Science, or similar) -- WE ARE OPEN TO RECENT GRADS WITH INTERNSHIP EXPERIENCE
  • Experience applying ML and statistical methods to real-world datasets
  • Experience collaborating with Engineering and/or Product teams
  • Nice to have: exposure to production ML systems or MLOps tools (MLFlow, Weights & Biases, etc,) 
  • Nice to have: familiarity with advertising, marketplaces, or large-scale decision systems

What We Offer

At GumGum, competitive base pay is a part of a total rewards package which also includes benefits, an emphasis on recognition, development, and wellness. The reasonable estimated base pay range for this role is from $128,000 - $130,000 annually.  The actual amount may be higher or lower. Individual compensation will vary based on factors including, but not limited to, relevant qualifications, work location, and labor market conditions.

The total rewards package offered also includes an employer-matched 401(k) retirement plan, and depending on the role, participation in a bonus, commission, or stock incentive program. Your recruiter can share more specifics during the hiring process. Learn more about our U.S. benefits & perks package at gumgum.com/benefits.

Awards

  • 2025 & 2026 Digiday Media Awards Europe Best Contextual Targeting Offering
  • 2025 AdExchanger Awards AI Innovators, Technology & Service Provider, Finalist
  • 2025 MARKETECH APAC Marketing Technology Awards Silver Winner for Best Contextual Advertising Tech Platform
  • 2025 Inc. B2B Power Partner
  • 2025 ExchangeWire The Wires Global Best Client Services team winner (GumGum UK)
  • 2025 and 2026 BuiltIn Best U.S. Midsize Companies to Work For

DEIB and EEO Statement

GumGum is proud to be an equal opportunity employer. We're committed to creating a workplace where people feel respected, supported, and able to do their best work. We believe different perspectives make us stronger and lead to better outcomes—for our teams, our partners, and our business. We strive to build an environment where individuals are treated fairly, opportunities are accessible, and everyone is held to a high standard of respect and accountability.

We're always learning and evolving as a company, and we continue to take thoughtful steps to support our people and strengthen our culture.

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