Head of Data Science - Monetization

Jobgether

1d • Hybrid

About The Position

This role is a senior leadership position responsible for shaping and executing the data science strategy for monetization products. You will combine technical expertise, business judgment, and team leadership to drive insights, experimentation, and analytics that directly impact revenue growth and product outcomes. The position requires hands-on involvement in complex, high-leverage projects while also scaling impact through mentoring and growing a high-performing data science team. You will partner closely with product, engineering, sales, and other cross-functional teams to align data initiatives with business objectives, ensure measurement rigor, and foster a culture of data-driven decision-making. This role offers the opportunity to influence strategic direction, define success metrics, and build scalable frameworks for long-term organizational impact. It is ideal for a leader passionate about applied data science, experimentation, and monetization in consumer-facing digital products.

Requirements

• 10+ years of experience in data science, product analytics, applied statistics, machine learning, or equivalent, with an advanced quantitative degree strongly preferred.
• Hands-on experience in advertising or monetization data science, including marketplaces, targeting/relevance, measurement, auction dynamics, yield optimization, or related areas.
• Proven leadership experience managing and developing data science teams across multiple problem areas.
• Strong fundamentals in experimentation, measurement, and statistical reasoning; ability to select appropriate methods and anticipate bias or pitfalls.
• Experience leading complex end-to-end analyses, from problem framing to actionable recommendations.
• Excellent collaboration and communication skills, capable of influencing stakeholders and translating technical insights into business decisions.
• Curiosity and openness to leveraging AI and emerging tools to enhance productivity and innovation in data science.

Responsibilities

• Define and execute the data science roadmap for monetization, prioritizing high-impact opportunities and risks, and aligning stakeholders on objectives.
• Establish and maintain high standards for analysis, experimentation, and decision-oriented outputs across the data science team.
• Contribute hands-on to technically complex and strategic projects, including experiment design, measurement strategy, and causal analysis.
• Partner with cross-functional teams (Product, Engineering, Sales, etc.) to provide data-informed guidance and drive strategy execution.
• Build scalable frameworks and reusable systems for metric definitions, dashboards, analysis templates, and other tools to increase team throughput.
• Lead, mentor, and grow the data science team, fostering an inclusive and high-performing culture with clear career development paths.
• Represent data science in leadership discussions, communicating complex findings clearly to both technical and non-technical audiences.

Benefits

• Competitive base salary with potential for additional equity grants.
• Flexible remote and hybrid working arrangements.
• Comprehensive health plans with 100% coverage options and concierge care services.
• Professional development, mentorship, and growth opportunities.
• Inclusive, diverse, and collaborative work environment.
• Opportunities to influence high-impact business decisions and growth strategies.
• Recognition programs and total rewards packages aligned with experience and contribution.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: No Education Listed