Vice President of Data Science and Product Analytics

adMarketplace; New York (NY); On-site; USD 100,000 - 125,000; Full time

Job summary

A leading advertising technology firm in New York is seeking a Vice President for Data Science & Product Analytics to drive data-centric decisions across the organization. The ideal candidate will have deep expertise in product analytics, A/B testing, and causal measurement, with over 12 years of experience in analytics and a strong quantitative background. This role offers a competitive salary, comprehensive benefits, and a collaborative work environment focused on growth and innovation.

Benefits

Comprehensive healthcare

401k matching

Summer Fridays

Catered lunches

Corporate retreats

Qualifications

• 12+ years of experience in product analytics, data science or performance measurement.
• Strong statistical background and ability to interpret complex results.
• Experience in search, performance marketing, adtech or marketplaces.

Responsibilities

• Drive product analytics and performance across the marketplace.
• Identify risks and opportunities through data analysis.
• Standardize metrics and reporting for product teams.

Skills

Product analytics

A/B testing

Incrementality analysis

Statistical analysis

SQL

Data visualization tools

Education

Degree in a quantitative field

Tools

Tableau

Databricks

Job description

Who We Are

adMarketplace is the largest global marketplace for Native Search advertising. For over 25 years, we’ve connected brands with consumers at the moment they express commercial intent beyond legacy search engines.

Today, our Native Search solutions are exclusively integrated across next‑generation platforms where discovery happens, including web browsers, Buy Now Pay Later apps, and AI chat surfaces. Powered by vector search technology, our platform delivers relevant text and product ads that match consumers with the brands, products, and offers they’re actively seeking.

Our award‑winning culture is grounded in the principles of Curiosity, Collaboration, Creative Conflict, Commitment, and Competitiveness – our 5Cs. These values drive us to turn complexity into clarity and create measurable value for consumers, advertisers, and publishers alike.

About AdMarketplace

adMarketplace operates the largest search advertising marketplace outside traditional search engines, enabling advertisers to reach high‑intent consumers across the open web. Our platform is built on real‑time auctions, performance optimization, and rigorous measurement—where understanding why things happen is just as important as what happens.

As our products grow in complexity and scale, we are investing in a senior analytics leader who can uncover hidden problems, guide product strategy, and ensure decisions are grounded in clear, causal understanding of marketplace behavior.

Role Overview

The Vice President, Data Science & Product Analytics is responsible for putting data at the center of great product and business decision‑making at adMarketplace.

This person will drive a culture of proactive insight generation—where the team finds issues before they become problems and identifies optimization levers. You will also partner closely with Product, Engineering, and Commercial teams to ensure insights translate into measurable product outcomes.

This Person Will Own

• Product analytics and performance diagnostics across the marketplace
• Deep‑dive investigations into auction outcomes, click & conversion funnels, supply quality, advertiser ROI, financial analysis, user behavior, and ranking logic.
• Developing frameworks to surface hidden performance issues, inefficiencies, and optimization opportunities.
• Identifying problems, surfaces opportunities, and influences product direction—partnering closely with Product, Engineering, Design, FP&A and Commercial leadership.
• Product health measurement, opportunity discovery, and forecasting
• Executive‑facing insights that shape roadmap priorities and investment decisions
• Diagnosing performance issues across auctions, ranking and relevance, and conversion funnels
• Analyzing supply–demand dynamics and marketplace balance
• Evaluating performance by advertiser, query, geo, device, and vertical segments
• Translating complex data into clear, prioritized problem statements for product teams

Problem Discovery & Strategic Opportunity Identification

• Actively surface previously unknown risks and opportunities
• Identify leading indicators of performance degradation or growth potential.
• Influence product strategy by connecting analytical findings directly to business impact, trade‑offs, and expected outcomes.
• Guide product teams toward the highest‑leverage opportunities using data‑backed narratives

Experimentation, Causal Measurement & Analytics

• Own experimentation, causal inference, and incrementality frameworks to ensure decisions are grounded in validated impact.
• Partner with Product, Engineering, and Data Engineering to design, run, and interpret experiments evaluating features, ranking changes, and marketplace policies.
• Standardize measurement, metrics, and reporting across product teams.
• Build scalable analytics and experimentation systems that deliver fast, trusted insights from complex event‑level data and directly inform roadmap and investment decisions.

Executive Storytelling & Decision Support

• Product direction
• Marketplace policies
• Pricing and monetization decisions
• Prepare and deliver clear, compelling narratives that connect product behavior to business outcomes

Required Skills & Experience

• Deep expertise in product analytics and experimentation, including A/B and multivariate testing, incrementality and lift analysis, funnel and cohort analysis, and KPI forecasting
• Strong statistical foundation with the ability to interpret complex experimental and causal results
• Advanced SQL skills and experience working with large, event‑level datasets; fluency with modern analytics, data platforms, and visualization tools (e.g., Tableau, Databricks, and similar).
• Strong product and business intuition, with a track record of influencing product strategy and connecting insights to growth, efficiency, and P&L impact
• Experience operating at the intersection of product, analytics, and business
• Demonstrated ability to lead senior analytical teams and clearly communicate complex insights to executive audiences
• Degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, or similar).
• 12+ years of experience in product analytics, data science, experimentation, or performance measurement
• Background in search, performance marketing, adtech, or large‑scale marketplaces strongly

Join Us

adMarketplace has been named as one of the best places to work in New York City by Built In and Crain’s – the latter of which have recognized us the past three years straight! AMP is currently experiencing triple‑digit growth, and it’s never been a better time to join our team!

We offer a robust continuing education program, management training, regular company‑wide lunch and learns, and well‑defined career paths to ensure all our employees have an opportunity to grow.

At adMarketplace, we play to win, but we learn from our setbacks. Our commitment to a collaborative environment means no one succeeds alone, and no one fails alone either.

We know you’ve come to expect comprehensive healthcare, wellness programs, paid time off, commuter benefits, and 401k matching from any company, so it’s a good thing we offer all of that and so much more. adMarketplace offers Summer Fridays, catered lunches, a fully stocked kitchen, ZogSports teams, happy hours and corporate retreats to encourage a strong work/life balance.

No Third Party Recruiters. We do not accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes.

This range represents the low and high end of the base salary someone in this role may earn as an employee of adMarketplace in the New York office. Salaries will vary based on various factors including but not limited to professional and academic experience; training; associated responsibilities; and other business and organizational needs. The range listed is just one component of our total compensation package for employees. Salary decisions are dependent on the circumstances of each hire.