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Freelance Data Science Jobs (NOW HIRING)

Freelance Medical Writer

New York, NY · On-site

$90 - $130/hr

An advanced life sciences degree (PhD, PharmD, MD) * Significant medical writing experience within ... We will process your personal data in accordance with our Recruitment Privacy Notice.

... advanced data science and AI solutions at scale. Our platform integrates a streamlined model ... Brief, direct and edit external contributors - freelancers, agencies and subject matter experts and ...

You'll be among the first we reach out to when new freelance opportunities go live. Key ... Access advanced training opportunities in data science and machine learning to boost your career ...

You'll be among the first we reach out to when new freelance opportunities go live. Key ... Access advanced training opportunities in data science and machine learning to boost your career ...

... data and marketing scientists across 15+ global markets. YOUR ROLE: RAPP is seeking a Freelance ... Director, Analytics to join our marketing sciences team. The Freelance Director, Analytics leads ...

... data and marketing scientists across 15+ global markets. YOUR ROLE: RAPP is seeking a Freelance ... Director, Analytics to join our marketing sciences team. The Freelance Director, Analytics leads ...

... data and marketing scientists across 15+ global markets. YOUR ROLE: RAPP is seeking a Freelance ... Director, Analytics to join our marketing sciences team. The Freelance Director, Analytics leads ...

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Freelance Data Science information

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$37.5K

$122.7K

$196.5K

How much do freelance data science jobs pay per year?

As of Jun 5, 2026, the average yearly pay for freelance data science 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 Freelance Data Scientist, and why are they important?

To thrive as a Freelance Data Scientist, you need strong proficiency in statistics, programming (commonly Python or R), and data analysis, often backed by a degree in a quantitative field or relevant certifications. Mastery of tools like Jupyter Notebook, SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and experience with cloud platforms are typically required. Excellent communication, self-motivation, and time management skills set successful freelancers apart by enabling effective client collaboration and project delivery. These abilities ensure you can independently deliver actionable insights and solutions that meet diverse client needs in a competitive market.

What are freelance data scientists?

Freelance data scientists are independent professionals who analyze, interpret, and extract insights from data for clients on a project or contract basis, rather than working as full-time employees for a single organization. They leverage skills in statistics, programming, and machine learning to solve business problems, build predictive models, and visualize data. Freelance data scientists often work with multiple clients across various industries, providing flexibility and the ability to specialize in different types of data projects. Their work may include tasks such as data cleaning, exploratory data analysis, algorithm development, and reporting findings to stakeholders.

What is the difference between Freelance Data Science vs Data Analyst?

AspectFreelance Data ScienceData Analyst
CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like CAP or Microsoft Data AnalystOften requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Data Analyst or Tableau
Work EnvironmentIndependent, project-based, remote or on-siteUsually employed within organizations, working in teams or departments
Employer & Industry UsageFreelance data science projects across various industries like tech, finance, healthcareIn-house roles in industries such as finance, marketing, healthcare, and retail

Freelance Data Science involves independent, project-based work requiring advanced skills in machine learning, programming, and statistical analysis. Data Analysts typically focus on interpreting existing data, creating reports, and visualizations within organizations. While both roles require strong analytical skills, freelance data scientists often handle more complex modeling tasks, whereas data analysts focus on data interpretation and reporting.

What are the most common challenges faced by freelance data scientists when working with clients remotely?

Freelance data scientists often encounter challenges such as unclear project scopes, varying data quality, and communication gaps when collaborating remotely with clients. It's essential to establish clear expectations, maintain regular updates, and set milestones to ensure both parties are aligned throughout the project. Additionally, freelancers may need to adapt to different tools or platforms based on each client's preferences, requiring flexibility and strong self-management skills. Building trust and delivering insights in a clear, actionable manner can help foster long-term client relationships.
More about Freelance Data Science jobs
What cities are hiring for Freelance Data Science jobs? Cities with the most Freelance Data Science job openings:
What are the most commonly searched types of Data Science jobs? The most popular types of Data Science jobs are:
What states have the most Freelance Data Science jobs? States with the most job openings for Freelance Data Science jobs include:
What job categories do people searching Freelance Data Science jobs look for? The top searched job categories for Freelance Data Science jobs are:
Infographic showing various Freelance Data Science job openings in the United States as of May 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

$72K - $109K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago


Job description

Company Description

Zenith is a full-service media agency with capabilities and expertise across all channels and disciplines. Zenith is part of Publicis Media, the #1 media buying network in the Americas and #2 globally. As "The ROI Agency," Zenith's expertise lies in driving real, tangible business outcomes, not just media metrics, that will have a measurable effect on our clients' business. Every investment we make has an ROI mindset-not just for our clients, but for our agency at large. We're focused on driving the maximum value for our people, our capabilities and our media investments for some of the world's leading brands.

Overview

We're looking for a Data Scientist to join the team who is a curious, creative problem solver willing to tackle the familiar and unfamiliar of all things data, including methods, technologies, and applications. You'll address complex marketing and business challenges-from cross-channel media and customer experience optimization to segmentation, targeting and business strategy-by accessing, integrating, manipulating, mining, and modeling a wide array of data sources.

Responsibilities
  • Conduct exploratory analysis to identify relevant insights and useful transformations
  • Use distributed computing systems to access and manipulate big data sources
  • Apply quantitative techniques to uncover latent patterns in the data
  • Test scalable data pipelines or models for real-time applications
  • Ensure that analytic tasks and results meet established objectives and timelines
  • Translate marketing and business questions into data queries
  • Interpret data, analytical results and visuals to generate conclusions and recommendations
  • Share knowledge and conduct research to advance the collective knowledge and skills of our team
Qualifications
  • Bachelor's degree or higher in a quantitative field such as statistics, mathematics, econometrics, operations research, data science, computer science, engineering, marketing or social science methods, or equivalent
  • 3+ years of relevant experience and interest in marketing analytic applications
  • Experience analyzing data for patterns and insights
  • Hands-on experience running statistical or machine learning procedures, such as descriptive statistics, hypothesis testing, econometric modeling, and regression analysis
  • Resourceful, curious, and motivated individual with an ability to work independently as well as in a team setting
  • Strong organizational, communication, and time-management skills
  • Diligent with the ability to prioritize multiple tasks and balance deadlines in a fast-paced environment
  • Proficiency in Microsoft Office Suite with strong understanding of Excel and PowerPoint
Additional Information

Our Publicis Groupe motto "Viva La Difference" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent. 

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive.  Our benefits package includes medical coverage, dental, vision, disability, 401K,  as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.  All your information will be kept confidential according to EEO guidelines.

Compensation Range: $72,390.00 - $109,480.00 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 10/06/2025.

Veterans Encouraged to Apply

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 Compensation Range: USD $72,390.00 - USD $109,480.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 10/21/2025.Employment Type: OTHER