Marketing Science Lead - Founding Hire

adMarketplace; New York (NY); On-site; USD 160,000 - 230,000; Full time

Benefits offered by this job

Health insurance

401k matching

Paid time off

Wellness program

Commuter benefits

Team events

Job summary

adMarketplace seeks a Marketing Science Lead to define and build a measurement function from the ground up in New York. You will design causal studies, build playbooks, and partner with Sales, Product Marketing, and advertisers to demonstrate value.

The role blends hands‑on analytics with leadership, mentoring junior analysts as the function scales, and shaping market‑facing measurement narratives for the business.

Qualifications

• Deep expertise in causal inference, econometrics, experimental design, or marketing measurement.
• Strong understanding of incrementality and advertising effectiveness.
• Experience designing and analyzing experiments such as geo holdouts, matched‑market tests, A/B tests, or other quasi‑experimental designs.
• Strong SQL skills and one of Python or R.
• Ability to communicate statistical concepts to non‑technical audiences.
• Excellent data storytelling and executive/client communication skills.
• Ability to move between hands‑on analysis and strategic leadership.
• Strong commercial judgment - measurement must be scientifically credible and usable.
• Entrepreneurial, builder mindset with independence and scale planning.
• Ability to operate independently today while thinking ahead about future scaling.

Responsibilities

• Own Marketing Science and Incrementality - establish vision for measurement and design geo holdouts, tests, and quasi‑experiments with standards.
• Lead Client‑Facing Measurement - collaborate with advertisers/publishers, design studies, QA, and executive narratives; engage with vendors.
• Productize Measurement and Playbooks - create repeatable processes, tooling, datasets, and workflows; push standardization.
• Shape the Measurement Story - translate findings into credible market‑facing claims with Sales and Marketing.

Skills

Causal inference

Econometrics

Experimental design

SQL

Python

R

Education

Advanced degree in economics

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.

The Role

adMarketplace is looking for a Marketing Science Lead to define how we scientifically demonstrate the value of our media to advertisers, publishers, and the broader market. As the founding hire for our Marketing Science function, you’ll have a unique opportunity to build this capability from the ground up. You’ll establish our measurement methodologies, operating model, analytical standards, and market‑facing approach – initially as a highly hands‑on leader, with the opportunity to hire and mentor junior analysts as the function grows. The role combines causal inference, experimental design, advertising measurement, analytics, and client communication. You should be equally comfortable designing a geo experiment, interrogating its statistical assumptions, explaining the results to a senior client, and partnering with Sales and Product Marketing to turn those findings into a compelling market‑facing story.

What You’ll Do

• Own Marketing Science and Incrementality - Establish our marketing science and measurement vision with a focus on incrementality - design geo holdouts, matched‑market tests, experiments, and quasi‑experimental studies; establish standards for power, controls, QA, and causal interpretation.


• Lead Client‑Facing Measurement - Partner with our advertisers and publishers alongside our account teams on study design, analysis, QBRs, and executive‑ready measurement narratives. Build engagements with measurement vendors to anticipate AMP’s go‑to‑market readiness MMM, MTA, incrementality, and data clean rooms.


• Productize Measurement and Playbooks - Turn bespoke studies into repeatable playbooks, tooling, datasets, and workflows; determine what can be standardized or automated. Close the feedback loop with product teams as advertiser or publisher needs emerge.


• Shape the Measurement Story - Partner with Sales and Product Marketing to translate scientific findings into credible case studies, collateral, and market‑facing claims

What We’re Looking For

• Deep expertise in causal inference, econometrics, experimental design, or marketing measurement.


• Strong understanding of incrementality and advertising effectiveness.


• Experience designing and analyzing experiments such as geo holdouts, matched‑market tests, A/B tests, or other quasi‑experimental designs.


• Strong SQL skills and one of Python or R.


• Ability to communicate statistical concepts to non‑technical audiences.


• Excellent data storytelling and executive/client communication skills.


• Ability to move between hands‑on analysis and strategic leadership.


• Strong commercial judgment - understanding that measurement must be both scientifically credible and operationally usable.


• An entrepreneurial, builder mindset: you’re excited by creating a function where the methodologies, processes, and team are still taking shape.


• Ability to operate independently today while thinking ahead about how the capability should scale tomorrow.

Nice to Have

• Experience building or scaling a Marketing Science, Measurement, or Decision Science function.


• Experience hiring, mentoring, or managing scientists or analysts.


• Experience in ad tech, digital media, search advertising, retail media, marketplaces, or performance marketing.


• Experience working directly with advertisers, agencies, or publishers.


• Familiarity with attribution methodologies and their limitations.


• Experience turning bespoke analytical work into scalable measurement products.


• Advanced degree in economics, statistics, quantitative marketing, data science, or a related field.

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.