Senior Data Scientist



Data Science
United States · Remote
Posted on Saturday, June 24, 2023

GumGum is a contextual-first, global digital advertising platform that uses advanced AI technology to serve captivating creative ads that drive consumer attention, without the use of personal data. At GumGum, we don’t need to know who you are to deliver relevant and engaging ads that align with your active frame of mind. We believe that a digital advertising industry based on context rather than personal data builds a more equitable and less invasive future for the internet and is better for consumers, publishers and advertisers alike. Our blueprint for the future, The Mindset Matrix™, combines the power of context and creative in digital advertising to deliver superior attention and drive consumer action without sacrificing personal data.

To be a part of this next phase of digital advertising that prioritizes data privacy, please visit

The Senior Data Scientist is responsible for developing and implementing ML solutions that enhance our ability to serve high-relevance and high-value advertisements - without tracking user behaviors. These solutions will focus on optimizing our ad-serving pathways, improving our operational decision making, and supporting a next-generation Ad Exchange Platform. The ideal candidate will have a strong foundation of statistical principles and ML techniques, experience working with petabyte-scale volumes of data, and a practiced understanding of deploying ML models to production applications.

Reporting to our Data Engineering Manager, the Senior Data Scientist will be the founding member of a Machine Learning team in the media business. The person can take consulting help from machine learning teams in other divisions. This person will be able to benefit from various programs that focus on employee development and exploration of technology-related interests and passions. We are committed to fostering diversity and inclusion in our workplace and getting employees of all backgrounds and identities to join and learn from our diverse management team.

Note: GumGum currently operates in a ‘work from home’ virtual environment with sporadic opportunities for in-person business and morale events (health guidelines permitting). There will not be any requirement to go into the office on a daily basis moving forward. GumGum is only open to hiring remote candidates who are residents in the following states: AZ, CA, CO, CT, FL, GA, IA, IL, IN, KY, MA, MD, MI, NJ, NY, OH, OR, PA, TN, TX, UT, VA, WA, and MN.

What You'll Achieve

  • Translate business, product, and engineering requirements into ML solutions
  • Conduct exploratory analyses to refine our ML roadmap and prioritization
  • Query and structure large datasets for model development using Spark and SQL
  • Train, experiment, and tune ML problem statements in order to find optimal solutions
  • Contribute to our MLOps workflows to facilitate efficient and scalable development
  • Develop KPIs in our BI platform to track and monitor model performance and the effect on other engineering and business systems
  • Serve as a mentor to other Data Scientists and Engineers
  • Establish a scalable ML Platform for other engineers and data scientists to use

Skills You'll Bring

  • Bachelor’s degree in Statistics, Mathematics, Physics, Economics or related quantitative field (Advanced degree preferred)
  • 2+ years deploying ML models to production applications
  • 5+ years in a data-driven role transforming data into business value
  • 5+ years collaborating with Engineering and Product
  • Nice to have: 1+ year contributing to MLOps workflows
  • NIce to have: experience working within ad-tech
  • Strong with SQL - writes efficient and well-organized statements
  • Proficient in Python, Scala, or Java and related ML libraries
  • Production experience using some MLOps tools - Feature Store, Model Registry, MLflow, Kubeflow, Docker, git, notebooks
  • Experience with big data technologies - Spark or similar frameworks
  • Familiar within cloud data environments - AWS, GCP, Databricks, Snowflake, Looker, PowerBI, Tableau
  • End-to-end ownership - likes working on all phases of an ML solution; from ideation and discovery to deployment and monitoring
  • Desire and dedication towards understanding complex systems - the advertising domain has A LOT of data and many decision points
  • Enjoys and excels at communicating in both business and technical conversations
  • Likes skill-sharing and working with others - there will be a lot of opportunities to mentor and learn new technologies

Perks & Benefits

  • Medical, Dental, and Vision coverage including 100% premium coverage for employee + spouse/family
  • Flexible Spending Accounts (FSA)
  • Short-Term and Long-Term Disability
  • Paid Parental Leave - Birth parents up to 16-18 weeks. Non-birth parents up to 10 weeks
  • Transitional Return-to-Work Schedule from Parental Leave
  • Dependent Care FSA
  • Maven Family Support - Including fertility adoption and/or travel expenses to obtain medical care
  • Employer-Matched 401(k) Retirement Plan
  • Life Insurance and AD&D
  • Stock Incentive Program (role dependent)
  • Employee Assistance Program
  • Legal and Identity Theft Protection
  • Student Loan Repayment Assistance
  • Work From Home Stipend
  • Wellness Reimbursement
  • Flexible Time Off (Unlimited PTO)
  • Summer Fridays from the 1st Friday of May through the last Friday in September
  • Volunteer Time Off
  • Veterinary Discounts (Pet friendly organization - we love our fur babies! IG: @dogsofgumgum)
  • WeWork monthly pass
  • GumGum Gives Back volunteering/social impact opportunities
  • Virtual and in-person company events/celebrations
  • Anniversary recognition and awards
  • Business Travel Accident


  • BuiltIn #37 Best Places to Work 2023 across the United States
  • BuiltinLA #7 Best Places to Work 2022
  • BuiltinLA Best Places to Work 2021
  • Ad Exchanger Programmatic Power Player 2022 and 2021
  • Digiday Media Awards Europe finalist 2022 and 2021

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. - Phil Schraeder, CEO

Learn more about our DEIB programming at

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