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Data Scientist Marketing Jobs (NOW HIRING)

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.

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

We are looking for an experienced Senior Data Scientist to partner closely with Marketing, Finance, Retail, and Product to translate marketing data into better decisions and business outcomes. Your ...

New

We are looking for an experienced Senior Data Scientist to partner closely with Marketing, Finance, Retail, and Product to translate marketing data into better decisions and business outcomes. Your ...

New

$85 - $120/hr

# Data Scientist - Marketing## Lititz, PA## ## Job SummaryWebstaurant Store, the world's largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science ...

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

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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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 Aug 22, 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 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 are the key skills and qualifications needed to thrive as a data scientist in marketing?

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.

How does a data scientist 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.

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.

Can a data scientist work in marketing?

A data scientist in marketing applies data analysis, statistical modeling, and machine learning techniques to optimize marketing strategies, target audiences, and improve campaign performance. They often work with tools like Python, R, and SQL, and collaborate with marketing teams to interpret data insights for decision-making.
More about Data Scientist Marketing jobs

What cities are hiring for Data Scientist Marketing jobs?

Cities with the most Data Scientist Marketing job openings:

What states have the most Data Scientist Marketing jobs?

States with the most job openings for Data Scientist Marketing jobs include:

Infographic showing various Data Scientist Marketing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Full-time

Re-posted 28 days ago


Job description

Job Summary:
Harvey is transforming how legal and professional services operate by combining AI with deep domain expertise. 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.
Responsibilities:
• Embed deeply with the Marketing organization as a trusted partner, identifying opportunities to improve performance and drive growth.
• Define, track, and evolve core metrics across marketing and business functions, building scalable dashboards and reporting frameworks that enable data-driven decision-making.
• Design, implement, and evaluate models (multi-touch attribution, marketing mix modeling, incrementality) for comprehensive Marketing Channel and Campaign performance and contribution.
• Apply statistical and machine learning techniques to model user behavior, forecast trends, and identify opportunities for growth and optimization.
• Translate complex analyses into compelling stories, delivering clear recommendations to cross-functional partners and executives.
• Partner with Marketing, RevOps and GTM System, to co-develop data infrastructure, ensuring robust pipelines, reliable data sources, and scalable systems that power analytics and modeling.
• Lead cross-functional analytics initiatives that synthesize competitive dynamics, customer feedback, and market trends into actionable opportunities for the business.
• Champion a data-informed culture by establishing best practices, mentoring peers, and shaping the strategic role of data science at Harvey.
Qualifications:
Required:
• 5+ years of experience in quantitative roles operating in highly ambiguous environments, ideally as an early data scientist or Marketing analyst within a hyper-growth product company or research organization
• Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows
• Expertise working with Salesforce, Marketo and Ads spent data
• Strong experience with modern data stack, such as DBT, Looker and Omni
• Proficiency in quantitative programming languages, such as Python and R
• Experience defining, implementing, and operationalizing Marketing campaign- and channel-level metrics from the ground up
• Strong communication skills, with the ability to effectively partner with leaders across Marketing, GTM and Finance
• Strategic mindset capable of generating insights that extend beyond traditional statistical significance testing to inform long-term product and business direction
Company:
Harvey provides AI-driven tools to assist legal professionals with research, document review, and contract analysis. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.