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Freelance Data Scientist Jobs (NOW HIRING)

Data Scientist

Manhattan, NY ยท On-site

$73K - $112K/yr

Overview Our Data Scientists deliver analytic solutions across a wide variety of client ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Data Scientist

Manhattan, NY ยท On-site

$72K - $109K/yr

Overview Our Data Scientists deliver analytic solutions across a wide variety of client ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

About the Role This is a freelance role for a Tendem project. As a Python Data Scraping Engineer ... Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related ...

Data Scientist

Manhattan, NY ยท On-site

$72K - $109K/yr

Overview We're looking for a Data Scientist to join the team who is a curious, creative problem ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

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Freelance Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do freelance data scientist jobs pay per year?

As of Jun 13, 2026, the average yearly pay for freelance 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 freelance data scientist?

A freelance data scientist is an independent professional who offers data analysis, machine learning, and statistical modeling services to various clients on a contract or project basis. Unlike in-house data scientists, freelancers have the flexibility to work with multiple organizations, often remotely, and handle diverse projects. Their responsibilities typically include collecting, cleaning, and analyzing data, building predictive models, and providing actionable insights to help clients make data-driven decisions. Freelance data scientists may work with startups, corporations, or individuals across different industries.

What Does a Freelance Data Scientist Do?

A freelance data scientist provides data-analytics services to corporate clients or government agencies as an independent contractor. As a freelance data scientist, you may work onsite at client locations or remotely. Your job duties as a freelance data scientist include analyzing big data using statistics and database management software tools. You must identify the correct data sets and variables, validate the data to ensure accuracy, use various forms of data modeling to identify patterns and trends, and finally interpret the data to convey actionable insights.

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

AspectFreelance Data ScientistData Analyst
Required CredentialsOften requires a degree in data science, statistics, or related fields; certifications like CAP, Microsoft Certified Data AnalystTypically requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentIndependent, project-based, remote or on-siteUsually employed within organizations, but also freelance roles; primarily office or remote
Employer & Industry UsageClients across various industries, including tech, finance, healthcareOrganizations seeking insights from data, across industries

While both roles involve working with data, a Freelance Data Scientist focuses on complex modeling, machine learning, and advanced analytics on a project basis. A Data Analyst typically handles data cleaning, reporting, and visualization within organizations. The choice depends on your expertise level and career goals.

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 analytical abilities, a solid background in statistics and programming (often with a degree in a related field), and proven experience with data modeling and machine learning. Familiarity with tools like Python, R, SQL, and platforms such as TensorFlow, as well as knowledge of data visualization software, are typically required, along with certifications like Microsoft Certified: Azure Data Scientist or Google Professional Data Engineer. Excellent communication, self-motivation, and project management skills help freelancers effectively collaborate with clients and deliver results independently. These skills are essential for turning complex data into actionable insights and maintaining successful client relationships in a competitive, project-based environment.

How do Freelance Data Scientists typically manage communication and collaboration with clients and remote teams?

Freelance Data Scientists often work with clients and project stakeholders across different locations and time zones, making clear and proactive communication essential. They usually rely on collaboration tools such as Slack, Zoom, and project management platforms like Trello or Asana to stay aligned on project goals and deliverables. Setting clear expectations, providing regular progress updates, and being responsive to feedback are key strategies for maintaining strong professional relationships. Additionally, freelancers may need to adapt their communication style to suit each client's preferences and ensure technical findings are translated into actionable insights for non-technical stakeholders.
What cities are hiring for Freelance Data Scientist jobs? Cities with the most Freelance Data Scientist job openings:
What are the most commonly searched types of Data Scientist jobs? The most popular types of Data Scientist jobs are:
What states have the most Freelance Data Scientist jobs? States with the most job openings for Freelance Data Scientist jobs include:
Infographic showing various Freelance Data Scientist job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

$73K - $112K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


Job description

Company description
Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by AdAge as Data and Insights Agency of the Year, U.S Campaign's Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world's leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries.
The Digitas culture is made up of fearless, inventive and generous Unicorns of all kinds.
Overview
Our Data Scientists deliver analytic solutions across a wide variety of client applications. We build inferential and predictive models, including machine learning algorithms and AI; we process, integrate and manipulate big data with distributed systems and customer data pipelines; we synthesize results and translate findings into compelling stories that resonate with clients.
As a Data Scientist, 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.
Job Responsibilities:
  • Translating marketing and business questions into data queries.
  • Using distributed computing systems to access and manipulate big data sources.
  • Conducting exploratory analysis to identify relevant insights and useful transformations.
  • Applying quantitative techniques to uncover latent patterns in the data.
  • Interpreting data, analytical results and visuals to generate conclusions and recommendations.
  • Testing scalable data pipelines or models for real-time applications.
  • Ensuring that analytic tasks and results meet established objectives and timelines.
  • Sharing knowledge and conducting research to advance the collective knowledge and skills of our Data Science practice.

We're looking for relevant academic, research or work experience, which typically includes:
  • A Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, econometrics, operations research, data science, computer science, engineering, marketing or social science methods.
  • Hands-on experience analyzing data for patterns and insights.
  • Hands-on experience running basic statistical or machine learning procedures, such as descriptive statistics, hypothesis testing, supervised or unsupervised learning.
  • Hands-on experience with Python or R. Familiarity with SQL, Linux, and/or distributed computing systems such as Hadoop or AWS preferred.
  • Demonstrated interest in marketing analytic applications.
  • Demonstrated self-starter who thrives in a fast-paced environment with flat structure.
  • Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALLโ€ข E, Midjourney) is a plus, especially for tasks like ideation, research, or content generation.

Got the sparkle? Apply if you believe your unique skills are a fit.
Additional Information
Digitas is an equal opportunity employer.
Additional information
Our Publicis Groupe motto "Viva La Diffรฉrence" 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.
Compensation Range: $73,150- $112,554, 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 7/15/2026.
All your information will be kept confidential according to EEO guidelines.
Compensation Range: USD $73,150.00 - USD $112,554.00/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 1/1/2027.