Senior Data Scientist

About the company- Minute:

Minute is a global technology and digital media company, powering some of the world's leading sports content brands, including Sports Illustrated, The Players' Tribune, and FanSided.

Through its proprietary technology and monetization platforms, Minute connects millions of sports fans with digital content while helping publishers and partners maximize the value of their audiences.

The Opportunity:

We're looking for an experienced Data Scientist to join Minute's Monetization Data team in Tel Aviv.

This is an opportunity to work at the intersection of advanced Data Science, experimentation, and business strategy, solving complex optimization challenges with a direct, measurable impact on revenue.

You'll work with large-scale data, develop predictive and optimization models, and design experiments that shape how advertising is monetized and how users experience digital content.

From dynamic pricing and auction optimization to user lifetime value and engagement, your work will directly influence business decisions and production systems across a global digital media platform.

What You'll Do:

• Develop and optimize ML models for programmatic advertising monetization, dynamic price floors, and revenue optimization.
• Design and analyze A/B tests and causal inference experiments to measure incremental business impact.
• Build predictive models for user lifetime value (LTV), retention, churn, and ARPU.
• Analyze large-scale behavioral and advertising data to identify opportunities for growth and optimization.
• Develop data-driven strategies for personalizing user experiences while balancing engagement and monetization.
• Help shape the roadmap and capabilities of the company's internal experimentation platform.
• Collaborate with Engineering, Product, and business stakeholders to deploy models and experiments into production.
• Translate complex analytical findings into clear business recommendations, while providing technical guidance and mentorship.

What We're Looking For:

• 4+ years of hands-on Data Science / Machine Learning experience in revenue-driven environments such as Ad-Tech, programmatic advertising, marketplaces, pricing optimization, or similar domains.
• Strong expertise in experimentation, A/B testing, causal inference, and incrementality measurement.
• Proven experience applying Data Science to monetization, pricing, or revenue optimization challenges.
• Advanced SQL skills, including working with large-scale event datasets.
• Strong Python skills for statistical analysis, modeling, and ML development.
• Solid understanding of ML techniques, including regression, tree-based models, classification, segmentation, and online optimization methods.
• Strong understanding of programmatic advertising concepts, including real-time bidding (RTB), auction dynamics, header bidding, and price-floor optimization.
• Experience designing and evaluating experiments in production, including metrics, attribution, and measurement methodology.
• Experience collaborating with Engineering teams to integrate and scale ML models in production environments, including high-volume, real-time data systems.
• Strong analytical thinking, business orientation, and communication skills.
• Fluent English.

Nice to Have:

• Hands-on experience in publisher-side monetization, yield management, or supply-side advertising optimization.
• Familiarity with Prebid (client-side or server-side).
• Experience with subscription economics, user retention, or LTV optimization.
• Knowledge of GA4, behavioral analytics, or first-party identity solutions.
• Previous experience mentoring Data Scientists or providing technical leadership.

Why Join Minute?

• Real business impact: Work on models and experiments that directly influence revenue and user experience.
• Meaningful scale: Solve complex problems using large-scale behavioral and advertising data across global digital properties.
• Technical depth: Combine ML, causal inference, experimentation, and optimization in real production environments.
• Ownership and influence: Help shape experimentation capabilities and collaborate closely with technical and business teams.
• Professional growth: Join an international technology company offering learning opportunities, development programs, and a collaborative working environment.

If you're passionate about using Data Science not just to predict outcomes, but to influence them and measure the actual business impact, we'd love to hear from you.