Data Scientist I

GumGum is the contextual-first technology leader transforming digital advertising with AI-powered, non-invasive data and media solutions. We champion effective advertising that uplifts and respects consumers. Our proprietary Contextual, Attention, and Creative solutions create the perfect match between a brand and a consumer in the right moment and mindset. Founded in 2008, GumGum is headquartered in Santa Monica, California, and operates in 19+ markets.
To be a part of this next phase of digital advertising that prioritizes data privacy, 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
Shortlisted for Marketing Technology Company of the Year for the 2023 Mumbrella Awards
2024 Winner of 7 BuiltIn Awards on a national, regional, and remote scale - including Remote Best Places to Work at #25 and Best Midsize Places to Work in Los Angeles, CA at #9
Ad Exchanger Programmatic Power Player 2022 and 2021
CTO Hero Award of OTT.X 2023
Digiday Media Awards Europe finalist 2022 and 2021
Finalist for the 2023 AdExchanger Awards Best Video Technology For Media Suppliers
Gold Award at the IAB Mixx Awards in Belgium in the “Best Use of Advertising Technology” category
The Drum Award Digital Advertising: Game-changing Technology for Domino's case study
GumGum is proud to be an equal opportunity employer. At GumGum, we believe in cultivating an environment where our team members can bring their authentic, whole selves to work. Encouraging identity and belonging is one of the many aspects of our culture that makes us stronger as an organization and drives innovation. We are committed to building and delivering a diverse, inclusive, and equitable workforce that is representative of the world around us, where all individuals are treated with respect and dignity - and to act swiftly if this value is ever threatened. We are constantly striving to be better, and we continue to take strategic steps to advance representation.
Learn more about our DEIB programming at gumgum.com/deib
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