Minute Media is a global technology and content company built for the future of sports consumption. Minute Media’s proprietary technology platform enables the creation, distribution, and monetization of digital content experiences, powering Minute Media’s portfolio of trusted content brands, including Sports Illustrated, The Players' Tribune, and FanSided, as well as hundreds of sports leagues, teams, broadcasters, third-party publishers, and advertisers. The technology platform includes (i) STN Video, an online video platform (OVP) that provides access to a robust sports highlights rights portfolio. Minute Media is building the future of how the world connects with sport, powered by innovation, shared globally, and trusted by millions of fans and the partners we serve. For more information, visit www.minutemedia.com.
עיקרי התפקיד
We’re looking for an experienced, rigorous Data Scientist to join our monetization data team in Tel Aviv. You’ll lead dynamic price-floor optimization strategies for programmatic display advertising across our global inventory, build models and experiments that determine which on-page experiences we show each user, and develop strategies to maximize user lifetime value while strengthening engagement and retention. You’ll also shape and manage the roadmap for our internal experimentation platform, enabling rigorous testing across the business. This is publisher-side data science, focused on our own audiences and those of our partners. The bar that matters most here is measurement, proving credibly that a change actually moved revenue before it ships.
Design and build models for supply-side monetization optimization, user lifetime-value, retention, and ARPU predictions, while measuring revenue impact.
Analyze large-scale event data and maintain metric foundations.
Partner with cross-functional teams to deploy models into production.
Communicate findings and business impact to stakeholders.
Provide technical leadership and mentorship.
Monitor industry trends in programmatic advertising and ad-tech.
דרישות
4+ years in data science / ML applied to a data-heavy, revenue-facing domain - ad-tech, programmatic monetization, marketplaces, pricing, or a comparable real-money optimization problem.
Strong causal-inference and experimentation skills. This is the core of the role.
Fluent SQL on large event datasets and hands-on Python for modeling and analysis.
Solid grounding in the relevant ML families - regression, tree-based models, online optimization / multi-armed & contextual bandits, and classification/segmentation.
In-depth understanding of programmatic advertising from the supply side - RTB, auction mechanics, header bidding, price floors, and how publisher yield is actually made.
Ability to design experiments that measure model effectiveness in production, and to own the definitions (metrics, identity, attribution) they rest on.
Experience integrating models into production systems with engineering, in a fast, iterative environment.
Proven ability to architect and scale models processing high-volume, real-time event streams.
Excellent communication - able to turn a complex monetization result into a clear recommendation a non-technical stakeholder can decide on.
Fluent English, written and spoken.
יתרון
Hands-on experience with publisher-side monetization/yield optimization, header bidding, or price-floor / seller-side auction optimization specifically.
Familiarity with the Prebid stack (client & server).
Subscription/membership/LTV modeling - retention, churn, and balancing recurring revenue against ad revenue.
Working knowledge of GA4 / behavioral analytics and first-party identity resolution.
Prior experience mentoring or leading a small data-science team.
Benefits:
Career development opportunities & different skill-based workshops are offered each quarter.
Gradual return from parental leave.
Fun company events and celebrations.
Community involvement opportunities, both in-person and remote.
We're not sure you're 100% qualified, but are you up for the challenge? We want you to apply!
Minute Media is committed to creating a diverse and inclusive work environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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