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Data Scientist Marketing Jobs (NOW HIRING)

Figma

Data Scientist, Marketing

San Francisco, CA

We're looking for a Marketing Data Scientist to join Figma's Data Science team and help drive how we measure, optimize, and scale our marketing investments across the customer journey. In this role ...

Scopely

Data Scientist, Marketing

San Francisco, CA · On-site

$141K - $202K/yr

We are seeking a quantitatively strong and business-oriented Data Scientist, Marketing to support our global Marketing organization. In this role, you will help develop measurement frameworks ...

Harvey

Data Scientist, Marketing

They are seeking a Marketing Data Scientist to partner with the Marketing organization, build marketing data science functions, and drive data-driven decision-making to accelerate growth.

Figma

Data Scientist, Marketing

San Francisco, CA · On-site

If you're excited to shape the future of design and collaboration, join us! We're looking for a Marketing Data Scientist to join Figma's Data Science team and help drive how we measure, optimize, and ...

WebstaurantStore

Data Scientist - Marketing

Lititz, PA · On-site +1

The Data Scientists are responsible for supplying statistical rigor to the organization's analytics ... Proven ability to partner with paid marketing teams to design, execute, and analyze experiments ...

Anthropic

Data Scientist, Marketing

Seattle, WA

About the role As part of our growing Data Science and Analytics team, you will own the measurement strategy behind Anthropic's marketing investment. This is a foundational role, building marketing ...

Anthropic

Data Scientist, Marketing

New York, NY · On-site

$285K - $380K/yr

About the role As part of our growing Data Science and Analytics team, you will own the measurement strategy behind Anthropic's marketing investment. This is a foundational role, building marketing ...

Harvey

Data Scientist, Marketing

San Francisco, CA · On-site

$170K - $260K/yr

Role Overview We're hiring a Marketing Data Scientist to partner closely with Harvey's Marketing organization and build our marketing data science function from the ground up. In this role, you'll ...

Figma

Data Scientist, Marketing

Job Summary : Figma is a company on a mission to make design accessible to all, and they are seeking a Marketing Data Scientist to join their Data Science team. In this role, you'll develop ...

Terminix

Data Scientist, Marketing

Memphis, TN

$103K - $134K/yr

The Data Scientist will work closely with stakeholders to collect, clean, analyze, and interpret data, and contribute to the development and deployment of ML models and data-driven solutions. This ...

New

Rentokil

Data Scientist, Marketing

Memphis, TN

The Data Scientist will work closely with stakeholders to collect, clean, analyze, and interpret data, and contribute to the development and deployment of ML models and data-driven solutions. This ...

New

Zocdoc

Senior Data Scientist, Marketing

New York, NY · On-site

We are seeking a Data Scientist to join Zocdoc's Marketplace Data Science team. You'll be embedded within the Acquisition Marketing team, supporting Paid Marketing and CRM teams. In this role, you'll ...

Scopely

Senior Data Scientist, Marketing

San Francisco, CA

$101K - $126K/yr

We are seeking a quantitatively strong and business-oriented Senior Data Scientist, Marketing to support our global Marketing organization. In this role, you will help develop measurement frameworks ...

Zocdoc

Senior Data Scientist, Marketing

New York, NY · On-site

We are seeking a Data Scientist to join Zocdoc's Marketplace Data Science team. You'll be embedded within the Acquisition Marketing team, supporting Paid Marketing and CRM teams. In this role, you'll ...

Scopely

Senior Data Scientist, Marketing

San Francisco, CA · On-site

$17K - $253K/yr

We are seeking a quantitatively strong and business-oriented Senior Data Scientist, Marketing to support our global Marketing organization. In this role, you will help develop measurement frameworks ...

Sonar

Data Scientist, Marketing Analytics

Austin, TX · On-site

This role sits in the Data & Insights team and partners closely with Marketing, IT/Marketing Ops, Data Engineers, Analytics Engineers, and data scientists covering other domains. What you will do

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All JobsData Scientist Marketing Jobs

Data Scientist Marketing information

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$37.5K

$122.7K

$196.5K

How much do data scientist marketing jobs pay per year?

As of Jul 18, 2026, the average yearly pay for data scientist marketing in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Scientist in Marketing, you need strong statistical analysis, proficiency in programming languages like Python or R, and a solid understanding of marketing concepts, often supported by a degree in data science, statistics, or a related field. Familiarity with tools such as SQL, machine learning libraries (e.g., scikit-learn), and marketing analytics platforms (like Google Analytics) is critical. Excellent communication, problem-solving abilities, and business acumen help you translate complex data insights into actionable marketing strategies. These combined skills are essential for driving data-driven decision-making and maximizing marketing ROI.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with continuous learning and practical experience.

How do Data Scientists in Marketing typically collaborate with other departments to drive successful campaigns?

Data Scientists in Marketing work closely with cross-functional teams such as marketing strategists, product managers, and sales analysts. They provide actionable insights by analyzing customer data, campaign performance, and market trends, which helps inform campaign targeting and messaging. Regular collaboration often involves presenting findings to non-technical stakeholders and using data-driven recommendations to shape marketing strategies, ensuring alignment and maximizing campaign effectiveness.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and data analysis, and roles in high-paying industries or senior positions. Achieving this level often requires a combination of expertise, certifications, and working in competitive markets or organizations with large data needs.

Can a data scientist work in marketing?

Yes, data scientists can work in marketing roles, where they analyze customer data, develop predictive models, and optimize marketing strategies. Skills in statistical analysis, machine learning, and tools like Python or R are valuable in this field.

What does a Data Scientist in Marketing do?

A Data Scientist in Marketing analyzes large sets of marketing and customer data to uncover patterns, trends, and insights that help optimize marketing strategies. They use statistical models, machine learning, and data visualization techniques to measure campaign effectiveness, segment audiences, and predict customer behavior. Their work supports decision-making, enhances targeting, and improves the return on marketing investments. Data Scientists in Marketing often collaborate with marketing teams to turn data-driven insights into actionable campaigns.

What is the difference between Data Scientist Marketing vs Data Analyst Marketing?

AspectData Scientist MarketingData Analyst Marketing
Required SkillsAdvanced statistical analysis, machine learning, programming (Python, R)Data visualization, basic statistical analysis, Excel, SQL
Work EnvironmentDeveloping predictive models, complex data projectsReporting, data cleaning, trend analysis
Common UsageBuilding models to forecast marketing trends, customer segmentationInterpreting data reports, tracking campaign performance

Data Scientist Marketing roles focus on advanced analytics, machine learning, and predictive modeling to inform marketing strategies. Data Analyst Marketing positions typically involve analyzing data sets, creating reports, and providing insights for marketing campaigns. Both roles require strong analytical skills, but Data Scientists often have more technical expertise and handle complex modeling tasks, while Data Analysts focus on data interpretation and reporting.

How much does a marketing data scientist make?

A marketing data scientist typically earns between $70,000 and $130,000 annually, depending on experience, location, and company size. Senior roles or those with advanced skills in machine learning and data analysis tools can earn higher salaries, often exceeding $150,000.
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Data Scientist Marketing jobs near you
Data Scientist, Marketing

Data Scientist, Marketing

Figma

San Francisco, CA

Other

Re-posted 7 days ago

Job description

We're looking for a Marketing Data Scientist to join Figma's Data Science team and help drive how we measure, optimize, and scale our marketing investments across the customer journey. In this role, you'll work closely with Paid Marketing, Lifecycle Marketing, Demand Generation, and Growth teams to develop measurement frameworks, improve targeting and segmentation, evaluate marketing effectiveness, and uncover insights that drive business growth.

This role sits at the intersection of analytics, experimentation, and strategy. You'll work with marketing leaders to answer some of Figma's most important growth questions, including how we acquire and engage customers efficiently, which marketing investments drive incremental business impact, and how we can improve the effectiveness of our marketing programs at scale.

This is a unique opportunity to shape the future of marketing measurement at Figma. You'll help build best-in-class capabilities across attribution, incrementality, experimentation, forecasting, and marketing mix modeling, while partnering with stakeholders across Marketing, Finance, Product, and Research to influence high-impact decisions and accelerate growth.

What you'll do at Figma:

  • Develop and own end-to-end measurement frameworks and attribution models to evaluate the effectiveness of Figma's marketing investments across the full funnel, channels, and regions.
  • Partner with stakeholders across Brand Marketing, Email, Lifecycle, Demand Gen and Research teams to define success metrics, uncover insights, and drive data-informed decision making.
  • Develop and apply statistical and machine learning models to solve key marketing challenges, including audience targeting, creative effectiveness, customer engagement, and campaign performance measurement.
  • Assess the incremental impact of marketing investments across channels to inform budget allocation and growth strategies.
  • Build dashboards, reporting frameworks, and analytical tools that help stakeholders understand brand performance and business impact.
  • Translate complex analyses into clear recommendations for marketing leaders and executive stakeholders.
  • Drive foundational improvements in data quality, measurement infrastructure, and reporting capabilities across the marketing organization.
  • Identify new opportunities to improve marketing effectiveness and influence strategic planning through data-driven insights.

We'd love to hear from you if you have:

  • 5+ years of experience in Data Science, Marketing Analytics, or a related analytical role, supporting Marketing teams and measuring large-scale investments.
  • Strong foundation in statistics, experimentation, causal inference, and working with survey or qualitative research data.
  • Advanced proficiency in SQL and experience using Python, R, or similar tools to conduct analysis and build scalable measurement solutions.
  • Demonstrated ability to communicate complex analyses clearly to senior non-technical stakeholders, with a track record of influencing decisions in cross-functional environments.

While it's not required, it's an added plus if you also have:

  • Experience with marketing mix modeling (MMM), multi-touch attribution, or incrementality testing.
  • Familiarity with data visualization tools such as Tableau, Looker, or similar.

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