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Marketing Scientist Jobs (NOW HIRING)

Marketing Scientist

San Francisco, CA ยท On-site

$198K - $220K/yr

Reporting to Marketing Science leadership, you'll be a senior individual contributor who combines rigorous measurement expertise with strong client judgment and hands-on execution. Your mission is to ...

Principal Marketing Scientist

New York, NY ยท On-site

$80K - $230K/yr

Geico is looking to hire a Principal Marketing Scientist to join the Marketing team in leading complex data analysis of large datasets and development of statistical marketing measurement ...

Principal Marketing Scientist

Bethesda, MD ยท Hybrid

$80K - $230K/yr

Geico is looking to hire a Principal Marketing Scientist to join the Marketing team in leading complex data analysis of large datasets and development of statistical marketing measurement ...

Principal Marketing Scientist

New York, NY ยท Hybrid

$80K - $230K/yr

Geico is looking to hire a Principal Marketing Scientist to join the Marketing team in leading complex data analysis of large datasets and development of statistical marketing measurement ...

The Marketing Science team at Snap helps advertisers get the highest possible ROI from Snap's ads platform by using advanced measurement and analytics. We equip our Sales teams with what they need to ...

Senior Marketing Scientist, Level 4

Los Angeles, CA ยท On-site

$98K - $134K/yr

The Marketing Science team at Snap helps advertisers get the highest possible ROI from Snap's ads platform by using advanced measurement and analytics. We equip our Sales teams with what they need to ...

The Marketing Science team at Snap helps advertisers get the highest possible ROI from Snap's ads platform by using advanced measurement and analytics. We equip our Sales teams with what they need to ...

Marketing Science associates generate actionable insights that help the enterprise understand the effectiveness of marketing investments and optimize future decision-making. They leverage advanced ...

Marketing Science sits between Data Science and Customer Success. We manage the modeling systems Data Science builds, explain how results are produced and what they mean, and build the tooling that ...

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Marketing Scientist information

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How much do marketing scientist jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for marketing scientist in the United States is $32.69, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $43.27 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Marketing Scientist, and why are they important?

To thrive as a Marketing Scientist, you need a solid background in statistics, data analysis, and marketing principles, often supported by a degree in marketing, statistics, or a related field. Familiarity with analytical tools such as SQL, Python, R, and data visualization platforms like Tableau is typically required, along with experience using CRM and marketing automation systems. Strong problem-solving skills, critical thinking, and the ability to communicate complex findings clearly are essential soft skills in this role. These abilities enable Marketing Scientists to extract actionable insights from data, optimize marketing strategies, and drive business decisions.

What is the highest paid job in marketing?

The highest paid roles in marketing are often executive positions such as Chief Marketing Officer (CMO) or Vice President of Marketing, with salaries reaching into the high six or seven figures for large organizations. These roles typically require extensive experience, strategic leadership skills, and a strong understanding of market trends and data analysis tools.

How does a Marketing Scientist typically collaborate with cross-functional teams to drive data-driven marketing decisions?

Marketing Scientists work closely with marketing, product, sales, and analytics teams to translate complex data insights into actionable strategies. They often participate in campaign planning meetings, present analytical findings to stakeholders, and provide recommendations for optimizing marketing efforts. Effective collaboration requires clear communication of technical concepts to non-technical team members and the ability to align data-driven solutions with business objectives. This cross-functional teamwork not only enhances campaign performance but also fosters a culture of continuous learning and innovation within the organization.

What does a marketing scientist do?

A marketing scientist analyzes data to understand consumer behavior, market trends, and campaign performance. They use statistical methods, data modeling, and tools like SQL or Python to develop insights that inform marketing strategies and decision-making.

Can I make 6 figures with a marketing degree?

A Marketing Scientist can potentially earn a six-figure salary, especially with experience, advanced skills in data analysis and marketing tools, and working in high-demand industries or senior roles. Salaries vary based on location, company size, and individual expertise. Continuous skill development and certifications can also increase earning potential.

What is the difference between Marketing Scientist vs Data Analyst?

AspectMarketing ScientistData Analyst
Required CredentialsBachelor's or Master's in Marketing, Data Science, or related fieldsBachelor's or Master's in Statistics, Data Analysis, or related fields
Work EnvironmentMarketing teams, research departments, advertising agenciesBusiness intelligence, finance, healthcare, or marketing departments
Employer & Industry UsageMarketing firms, consumer brands, digital agenciesCorporations, consulting firms, research organizations
Common Search & ComparisonMarketing Scientist vs Data Analyst

Marketing Scientists focus on analyzing consumer data to develop marketing strategies, often using advanced analytics and modeling. Data Analysts interpret data to support business decisions across various departments. While both roles require strong analytical skills, Marketing Scientists typically have a deeper understanding of marketing principles and consumer behavior, making their work more specialized within marketing contexts.

How much do market researchers get paid?

Market researchers, including those with the title of Marketing Scientist, typically earn a median annual salary of around $65,000 to $85,000, depending on experience, education, and location. Salaries can increase with advanced skills in data analysis, statistical tools, and industry expertise.

What is a Marketing Scientist?

A Marketing Scientist is a professional who uses data analysis, statistical modeling, and scientific methods to understand consumer behavior and optimize marketing strategies. They work with large datasets to uncover insights about customers, market trends, and campaign performance. Their role often involves designing experiments, building predictive models, and translating complex findings into actionable recommendations for marketing teams. Marketing Scientists help organizations make data-driven decisions to improve the effectiveness and efficiency of their marketing efforts.
More about Marketing Scientist jobs
What states have the most Marketing Scientist jobs? States with the most job openings for Marketing Scientist jobs include:
Infographic showing various Marketing Scientist job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $67,990 per year, or $32.7 per hour.
Marketing Scientist

Marketing Scientist

OpenAI

San Francisco, CA โ€ข On-site

$198K - $220K/yr

Full-time

Posted 12 days ago


Job description

About the Team
OpenAI's mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI's products and platform.
We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels.
About the Role
We're looking for a Marketing Scientist to join OpenAI's Ads Marketing Science function. Reporting to Marketing Science leadership, you'll be a senior individual contributor who combines rigorous measurement expertise with strong client judgment and hands-on execution.
Your mission is to help OpenAI Ads prove and improve advertisers' media performance. You'll work with sales, partners, and clients supporting all forms of measurement including verification, attribution, incrementality, brand, visitation, marketing mix modeling (MMM), and scalable advertiser reporting, connecting sound methodology to decisions advertisers can act on.
This New York or San Francisco based role will partner closely with Sales on key advertising accounts and with Product, Engineering, Data Science, Partnerships, Legal, and Privacy. Initial priorities include advancing incrementality measurement, helping onboard measurement partners to OpenAI's data interfaces, and creating reusable programs, tools, agents, skills, and workflows that let sales and clients access high-quality Marketing Science support at scale.
In this role you will:
  • Partner with Sales, advertisers, and agencies to shape learning agendas, interpret results, and improve media performance.
  • Apply rigorous advertising measurement approaches across attribution, incrementality, marketing mix modeling, and other relevant methodologies.
  • Develop scalable measurement programs and guidance that improve decisions and adoption of rigorous measurement practices.
  • Collaborate across Product, Engineering, Data Science, and Partnerships to translate advertiser needs into durable measurement capabilities.
  • Work effectively with measurement partners and industry stakeholders to support advertiser adoption and strengthen trust in OpenAI Ads.
  • Communicate complex concepts clearly and uphold high standards for privacy, quality, transparency, and responsible interpretation.

You will thrive in this role if you:
  • Have deep expertise (10+ years) in advertising measurement, including experimentation, incrementality testing, attribution, and econometric approaches such as MMM.
  • Are a hands-on senior individual contributor who works directly with large datasets using SQL, Python or R, and AI-enabled analytical workflows, without sacrificing rigor or judgment.
  • Are a trusted client advisor who can navigate sophisticated advertiser questions, measurement discrepancies, and executive conversations with clarity and sound judgment.
  • Have designed or operated lift and incrementality programs, including experiment design, power analysis, governance, diagnostics, and statistical quality standards.
  • Bring experience with third-party measurement providers, partner onboarding, APIs or data integrations, and translating partner needs into practical product requirements.
  • Have partnered effectively with Product, Engineering, and Data Science to turn measurement methodology into scalable tools, reporting, or platform capabilities.
  • Can translate complex statistical concepts into practical decisions for both technical and non-technical audiences.
  • Thrive in fast-paced, high-ambiguity environments and can influence across teams without relying on formal authority.
  • Care deeply about privacy-forward, trustworthy measurement that helps advertisers understand, prove, and improve media performance.

About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.