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Digital Marketing Data Scientist Jobs (NOW HIRING)

Go Fish Digital

Media and Marketing Data Scientist

Go Fish Digital is an engineering-forward performance marketing agency specializing in SEO, ... About the role The Media and Marketing Data Scientist will be responsible for gathering, analyzing ...

Infojini Inc

Digital Marketing Data Analyst

New York, NY · On-site

$94K - $117K/yr

In this role, the Senior Digital Data Analyst will handle projects that include: Attribution ... science, mathematics etc.) a plus Background in qualitative research, marketing analytics/science a ...

Suno

Marketing Data Scientist

Manhattan, NY · On-site

They are seeking a Marketing Data Scientist to drive smarter acquisition decisions by analyzing marketing experiments and building attribution models to inform budget allocation and campaign ...

Suno

Marketing Data Scientist

New York, NY · On-site

$140K - $200K/yr

About the Role Suno's marketing team is scaling fast, and we need a Marketing Data Scientist to be the analytical partner driving smarter acquisition decisions. You'll own the data that tells us ...

Scopely

Data Scientist, Marketing

San Francisco, CA

Qualifications * 1-5 years of experience in data science, marketing analytics, or a related quantitative role (gaming, mobile, or digital consumer experience preferred). * Understanding of marketing ...

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.

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How much do digital marketing data scientist jobs pay per year?

As of Aug 6, 2026, the average yearly pay for digital marketing data scientist 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 is a digital marketing data scientist?

A Digital Marketing Data Scientist analyzes large sets of marketing data to optimize campaigns, improve customer targeting, and increase ROI. They use data science techniques, such as machine learning and statistical modeling, to uncover insights from customer behavior, ad performance, and website analytics. Their goal is to help businesses make data-driven marketing decisions by identifying trends, predicting outcomes, and automating processes. This role requires expertise in data analysis, programming (Python, R, SQL), and marketing metrics.

What are the primary responsibilities and common challenges faced by digital marketing data scientists?

Digital Marketing Data Scientists are typically responsible for collecting, analyzing, and interpreting large sets of marketing data to guide campaign strategies and optimize performance. They often face challenges such as integrating data from multiple sources, ensuring data quality, and extracting actionable insights from complex datasets. In a typical day, they collaborate closely with marketing teams, data engineers, and business stakeholders to develop predictive models, run A/B tests, and present findings. Staying current with evolving digital marketing tools and rapidly changing online consumer behavior is also a key part of the job, ensuring their analyses remain effective and relevant.

What are the key skills and qualifications needed to thrive as a digital marketing data scientist?

To thrive as a Digital Marketing Data Scientist, you need a strong background in statistics, data analysis, and digital marketing concepts, often supported by a relevant degree. Proficiency with data analytics tools (such as Python, R, SQL), marketing platforms (like Google Analytics), and certifications in digital marketing or data science are highly valued. Strong problem-solving abilities, adaptability, and effective communication skills help professionals share insights and drive marketing strategy. These skills enable effective measurement, optimization, and data-driven decision-making in fast-paced digital marketing environments.

Can a digital marketing data scientist work in marketing?

A digital marketing data scientist can work in marketing by analyzing data to optimize campaigns, improve customer targeting, and measure performance. Their skills in data analysis, statistical modeling, and tools like SQL and Python are highly valuable in marketing environments. This role often involves collaboration with marketing teams to develop data-driven strategies.
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Digital Marketing Data Scientist jobs near you
Infographic showing various Digital Marketing Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Digital Marketing Data Scientist

Alten Calsoft Labs

Palo Alto, CA

Contractor

Re-posted 3 days ago

Job description

Company Description

ALTEN Calsoft Labs is an engineering and IT services company that innovates, integrates and transforms business leveraging digital technology.

Job Description

You will be a team member of the Digital Marketing Analytics team, working in the data sciences area, with specific focus on Digital Marketing business problems.

You'll be responsible for supporting analytics that drive business optimizations across the customer end-to-end journey. This role will support the full cycle of an experiment (from data-driven hypothesis generation to test design to analysis and interpretation) while also innovating on experimental methodologies that allow us to obtain meaningful results.

You should have hands-on technical experience in statistics, predictive modeling and other data sciences, as well as extensive experience in developing data-sets for data science projects. The position requires superb communication and advanced analytical skills.

 

Qualifications

         Total Indicative Experience: 4-7 Years (or equivalent education) with experience in Digital Marketing specifically.

         Hands-on experience with one or more of the primary data science tool-sets: R, SAS, SPSS, Python, and models such as ARIMA.

         Hands-on experience with Adobe Analytics, Tableau and/or Power BI.

         Experience using advanced analytics techniques to tackle digital marketing business problems, such as, pre-funnel behavior analysis to predict insights in the digital journey prior to web form conversions, insights across tactics, multi-touch attribution, campaign sequencing, ROI analysis for paid campaign efficacy, and forecasting for pipeline metrics.

         Working knowledge of methods such as regression, cohort analysis, hypothesis testing, cluster analysis with hands-on experience translating raw data from relational databases and Hadoop into modeling data sets (using Excel, SQL, SAS or other coding tools) is desired.

         Good business & technical communication skills, both verbal and written. Ability to explain and present analytics concepts to non-technical audiences. Ability to establish & cultivate relationships with all stakeholders.

         Proven project management and organizational skills. Ability to effectively prioritize time, manage expectations and deliverables. A self-starter, who proactively looks for new and better ways of doing things. Shows drive, passion and a sense of ownership.

         Graduate degree in data sciences, advanced analytics, statistics or related fields is preferred, or equivalent on-the-job experience (experience in high-tech enterprise business-to-business industry is ideal, as is prior experience from a reputed analytics firm doing similar work).

Additional Information

All your information will be kept confidential according to EEO guidelines.

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