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GumGum

Data Scientist I

full-time•Santa Monica•$128k - $130k

Summary

Location

Santa Monica

Salary

$128k - $130k

Type

full-time

Experience

0-2 years

Company links

WebsiteLinkedInLinkedIn

About this role

<div class="content-intro"><p><span style="font-weight: 400;">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.<br><br></span><span>To be a part of this next phase of digital advertising that prioritizes data privacy, please visit </span><a href="http://www.gumgum.com/careers"><span>www.gumgum.com/careers</span></a></p></div><p>The <strong>Data Scientist I</strong> 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.</p> <p>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.<br><br>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&nbsp;<strong>2 days per week</strong>, supporting a balanced approach to flexibility and team engagement.</p> <p><strong>What You'll Achieve</strong></p> <ul> <li>Support the translation of business and product requirements into data-driven analyses and ML solutions</li> <li>Partner with Engineering team members and senior Data Scientists to develop, test, and deploy ML models</li> <li>Conduct exploratory data analysis to inform feature development and modeling approaches</li> <li>Query, clean, and structure large datasets using <strong>SQL</strong>, <strong>Spark</strong>, and cloud data platforms</li> <li>Train, evaluate, and iterate on ML models under guidance from senior team members</li> <li>Contribute to existing <strong>MLOps workflows</strong> for model training, deployment, and monitoring</li> <li>Help define and track Key Performance Indicators in our Business Intelligence tools to measure model performance and downstream impact</li> <li>Document analyses, models, and learnings to support knowledge sharing across the team</li> <li>Continuously learn new ML techniques, tools, and advertising-domain concepts</li> </ul> <p><strong>Skills You'll Bring</strong></p> <ul> <li>Bachelor’s degree in Statistics, Mathematics, Physics, Economics, Computer Science or a related quantitative or technical field</li> <li>1–2+ years in a data-driven role (Analytics, Data Science, or similar) -- WE ARE OPEN TO RECENT GRADS WITH INTERNSHIP EXPERIENCE</li> <li>Experience applying ML and statistical methods to real-world datasets</li> <li>Experience collaborating with Engineering and/or Product teams</li> <li>Nice to have: exposure to production ML systems or MLOps tools (MLFlow, Weights &amp; Biases, etc,)&nbsp;</li> <li>Nice to have: familiarity with advertising, marketplaces, or large-scale decision systems</li> </ul> <p><strong data-stringify-type="bold">What We Offer</strong></p> <p>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<strong data-stringify-type="bold"><em data-stringify-type="italic"> $128,000 - $130,000</em></strong><strong data-stringify-type="bold"><em data-stringify-type="italic">&nbsp;annually.</em></strong>&nbsp; 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.</p> <p>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 &amp; perks package at <a href="https://gumgum.com/benefits">gumgum.com/benefits</a>.</p><div class="content-conclusion"><p><span style="color: rgb(126, 140, 141);"><strong>Awards</strong></span></p> <ul> <li style="color: rgb(126, 140, 141);"><span style="color: rgb(126, 140, 141);">Shortlisted for Marketing Technology Company of the Year for the 2023 Mumbrella Awards</span></li> <li style="color: rgb(126, 140, 141);"><span style="font-weight: 400; color: rgb(126, 140, 141);"><span class="im">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</span></span></li> <li style="font-weight: 400; color: rgb(126, 140, 141);"><span style="font-weight: 400; color: rgb(126, 140, 141);"><span class="im">Ad Exchanger Programmatic Power Player 2022 and 2021</span></span></li> <li style="font-weight: 400; color: rgb(126, 140, 141);"><span style="font-weight: 400; color: rgb(126, 140, 141);">CTO&nbsp; Hero Award of OTT.X 2023</span></li> <li style="font-weight: 400; color: rgb(126, 140, 141);"><span style="font-weight: 400; color: rgb(126, 140, 141);"><span class="im">Digiday Media Awards Europe finalist 2022 and 2021</span></span></li> <li style="font-weight: 400; color: rgb(126, 140, 141);"><span style="font-weight: 400; color: rgb(126, 140, 141);">Finalist for the 2023 AdExchanger Awards Best Video Technology For Media Suppliers</span></li> <li style="font-weight: 400; color: rgb(126, 140, 141);"><span style="font-weight: 400; color: rgb(126, 140, 141);"><span class="im">Gold Award at the IAB Mixx Awards in Belgium in the “Best Use of Advertising Technology” category </span></span></li> <li style="font-weight: 400; color: rgb(126, 140, 141);"><span style="font-weight: 400; color: rgb(126, 140, 141);"><span class="im">The Drum Award Digital Advertising: Game-changing Technology for Domino's case study</span></span></li> </ul> <p><span style="color: rgb(126, 140, 141);"><em><span style="font-weight: 400;">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.&nbsp;</span></em></span></p> <p><span style="color: rgb(126, 140, 141);"><em><span style="font-weight: 400;">Learn more about our DEIB programming at <a href="gumgum.com/deib">gumgum.com/deib</a></span></em></span></p> <p><span style="color: rgb(126, 140, 141);"><strong>Follow us on our socials...</strong></span></p> <p><span style="color: rgb(126, 140, 141);">Instagram: @gumgum &amp; @dogsofgumgum</span><br><span style="color: rgb(126, 140, 141);">LinkedIn: GumGum</span><br><span style="color: rgb(126, 140, 141);">Tweet us: @gumgum</span><br><span style="color: rgb(126, 140, 141);">Facebook: GumGum</span></p></div>

What you'll do

  • The Data Scientist I will support the development and deployment of ML, statistical analysis, and AI solutions to enhance ad relevance and value. This role involves working with large datasets and collaborating with various teams to improve ad-serving performance.

About GumGum

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.

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Frequently Asked Questions

What does GumGum pay for a Data Scientist I?

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GumGum offers a competitive compensation package for the Data Scientist I role. The salary range is USD 128k - 130k per year. Apply through Clera to learn more about the full compensation details.

What does a Data Scientist I do at GumGum?

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As a Data Scientist I at GumGum, you will: the Data Scientist I will support the development and deployment of ML, statistical analysis, and AI solutions to enhance ad relevance and value. This role involves working with large datasets and collaborating with various teams to improve ad-serving performance..

Is the Data Scientist I position at GumGum remote?

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The Data Scientist I position at GumGum is based in Santa Monica, California, United States. Contact the company through Clera for specific work arrangement details.

How do I apply for the Data Scientist I position at GumGum?

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You can apply for the Data Scientist I position at GumGumdirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.
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