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Über
Disco powers a next-generation commerce media network that connects over 1,000 eCommerce advertisers to consumers on some of the world's most recognizable retail platforms, including Mindbody, Gopuff, Fabletics, and Knitwell Group (Chico's, Talbots, Lane Bryant). When a consumer books a yoga class or buys a new pair of jeans, Disco's recommendation engine surfaces relevant, brand-safe offers from other consumer brands, turning everyday transactions into meaningful moments of discovery.
Since launching in 2021, we've raised $26M from leading investors including Felicis Ventures, Bessemer Venture Partners, Shopify, Sugar Capital, RiverPark Ventures, and Indicator Ventures. Today, Disco's network spans 1,000+ advertisers and publishers, driving over $1B in GMV across 150M+ permissioned U.S. shopper profiles.
About The Role
As a Senior Data Scientist, you will drive data-driven strategies, lead complex analyses to improve the performance on the Disco network across both advertisers and publishers. You will work on projects that range from developing user-based and contextual signals for targeting and model ranking, to optimizing UI/UX and copy to increase engagement and monetization. This role operates in a high-paced startup environment, requiring proactive ownership, versatility, and close collaboration with product, engineering, and Go-To-Market partners.
Responsibilities
Design and run online experiments (A/B, Bayesian) to improve network performance across ranking, presentation formats, UI, and copy Engineer scalable user and contextual features to enhance targeting accuracy, prediction performance, and auction results Build models and methodologies to analyze and predict advertiser and publisher performance, including treatment effects and lift Build analytics and reporting tools enabling non-technical stakeholders to assess performance, diagnose opportunities, and test hypotheses Collaborate with product and engineering to evolve Disco's identity graph, including integrating 3rd-party data sources Identify and scope opportunities for new experimentation pathways, feature development, and data-driven improvements to marketplace efficiency Experience
Experience: 5+ years of industry experience as a Data Scientist (or 2+ years with a PhD) Master's degree in Statistics, Data Science/Analytics, or related quantitative discipline preferred Experience working cross-functionally with product, engineering, and Go-To-Market teams; significant ad-tech experience strongly preferred Demonstrated project leadership & ownership, and the ability to tackle highly ambiguous technical and business problems Experience with core Python data science libraries such as pandas, numpy, and scipy Experience with relational databases such as Snowflake, Postgres, and MySQL Strong knowledge of online AB testing and experimentation Strong Bayesian statistics foundation; experience with applying multi-armed bandit methods (e.g., Thompson Sampling) a plus Experience with modern data tooling (i.e. dbt, Dagster) a plus Perks & Benefits
We believe in taking care of our team - inside and outside of work.
Time to recharge
Flexible PTO policy 15 paid holidays 3 company-wide DisConnect Days to truly unplug Health & wellbeing
Comprehensive medical, dental, vision, and life insurance $250 monthly flexible lifestyle stipend $100 monthly Disco credit to shop from the incredible brands in our network Financial & family support
401(k) to invest in your future $750 monthly childcare stipend $132 monthly commuter benefit $500 home office setup reimbursement to make your workspace your own Everyday perks
$20 Grubhub credit each day you're in the SF or NYC office Great people, meaningful work, and a team that genuinely believes in what we're building
The compensation package for this role is estimated to be in the range of $160,000 to $185,000 in base salary, supplemented by a competitive performance-based bonus target and an equity component. Actual salaries will vary depending on factors including but not limited to location, experience, and performance.
Final compensation will be based on the candidate's skills, experience, and overall seniority within the role.
Sprachkenntnisse
- English
Hinweis für Nutzer
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