Data Scientist I

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. com/careers .

The Data Scientist I supports statistical analyses of large datasets, the development and deployment of Machine Learning (ML), multimodal Deep Learning (DL), 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 and DL models, leveraging general AI concepts and techniques, while also partnering closely with the Engineering, Product, and Data Science team to improve ad-serving performance, operational decision-making and lead development of new AI products that best serve the business.

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 AI 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. , Statistics, CS, Math, Physics, or Economics).

1–2+ years in a data-driven role such as Analytics, Data Science, or ML Engineering. Proficiency in Python and experience applying ML/DL methods using libraries like scikit-learn, PyTorch, HuggingFace, or OpenCV. Dependable SQL skills and experience designing pipelines or DAGs using tools like Airflow or Astronomer.

Exposure to cloud environments (AWS/GCP, Databricks, Snowflake) and large-scale query tools like Spark or Snowpark. Strong grasp of A/B testing, experimental design, and statistical concepts (regression, classification, optimization).

Experience with LLM prompting and interest in frameworks like RAG, LangChain, or agentic systems. Ability to design dashboards for diverse audiences and collaborate effectively with Product and Engineering teams. 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. S. 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. 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.