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Freelance Data Science Jobs (NOW HIRING)

Omnicom Health

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.

Domino Data Lab

Content Marketing Manager

... 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 ...

Global Virus Network

Freelance Medical/Grant Writer

Tampa, FL · On-site

$20 - $25.75/hr

Conduct literature reviews, background research, data compilation, and scientific content ... Freelance / Independent Consultant Reports to: GVN Scientific Program Manager Why Join GVN? * Work ...

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Space44

Engineer / Developer - Freelance (Remote)

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 ...

Space44

Engineer / Developer - Freelance (Remote)

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 ...

RAPP

Freelance - Director, Analytics

Los Angeles, CA · On-site

... 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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How much do freelance data science jobs pay per year?

As of Jun 26, 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.

Is 40 too late to become a data scientist?

Becoming a data scientist at age 40 is feasible, as the role values skills in programming, statistics, and data analysis, which can be acquired through online courses, bootcamps, or formal education. Many professionals transition into data science later in their careers, and experience in related fields can be an advantage. Continuous learning and building a strong portfolio are key to entering the field at any age.

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.

Is AI replacing data scientists?

Data scientists play a crucial role in analyzing data, developing models, and interpreting results, which AI tools can assist but not fully replace. AI automates certain tasks like data processing and model deployment, but data scientists' expertise in problem formulation, domain knowledge, and model tuning remains essential for effective insights and decision-making.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data features. Data scientists often focus on the most impactful features or data subsets to improve model performance efficiently.

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.

Can I be a freelance data scientist?

Yes, a data scientist can work as a freelancer by offering services such as data analysis, modeling, and machine learning to clients independently. Successful freelance data scientists typically have strong technical skills, proficiency in tools like Python or R, and a portfolio demonstrating their expertise. They often set their own schedules and may need to manage client relationships and contracts.
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:
Freelance Data Science jobs near you
Infographic showing various Freelance Data Science job openings in the United States as of June 2026, with employment types broken down into 72% Full Time, 21% Part Time, and 7% Contract. Highlights an 43% In-person, 7% Hybrid, and 50% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
COMMUNICATIONS & WRITING SPECIALIST, Computing and Data Sciences

COMMUNICATIONS & WRITING SPECIALIST, Computing and Data Sciences

Boston University

Boston, MA • On-site

$58K - $77K/yr

Part-time

Posted 22 hours ago

Boston University rating

7.9

Company rating: 7.9 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

179th of 539 rated colleges and universities

Job description

Position Summary:

The CDS Communications & Writing Specialist will craft compelling stories that highlight the achievements and innovations of CDS faculty, students, and programs, translating complex scientific concepts into engaging, accessible content for diverse audiences (including prospective students and the general public). The ideal candidate will demonstrate fluency in artificial intelligence concepts and tools and be eager to leverage AI in innovative ways to enhance communications, storytelling, and strategic outreach. They will be passionate about promoting interdisciplinary research and the real-world impact of data science across various fields, and will play a central role in elevating CDS to national visibility.

Key Responsibilities

  • Write, edit, and publish high-quality content showcasing CDS faculty research, student achievements, programs, and events across news, profiles, newsletters, social, ads, one-pagers, and reports.
  • Collaborate with faculty and program leaders to interpret and communicate complex scientific and data-science concepts accurately for diverse audiences.
  • Proactively seek media opportunities, serve as primary media contact, and identify emerging data-science trends to keep communications timely and relevant.
  • Develop and execute communications strategies and collateral to promote events, conferences, speaker series, and special initiatives; support outreach and awareness campaigns for CDS and BU programs (e.g., BU Spark!, Bioinformatics).
  • Lead cross-cutting communications tasks across CDS teams—coordinate event promotion, recruitment/onboarding materials, industry and alumni partnership outreach, and campus/building initiatives.
  • Supervise and develop student employees, part-time staff, and freelancers: assign work, provide feedback, handle hiring and evaluations, approve hours, and maintain process documentation.
  • Consult and mentor faculty and program staff on messaging and brand guidelines to elevate program visibility and align communications with institutional goals.
  • Support special projects and campus partnerships as needed to foster community engagement and advance CDS strategic priorities.

Required Skills

Required Skills

  • Bachelor’s degree in communication, journalism, data science, or a related field.
  • Minimum 3-5 years experience in communication or journalism, preferably in higher education or a comparable sector.
  • Proven experience writing about science, ideally with a focus on data science, technology, or related disciplines.
  • Strong ability to translate technical, scientific, and data-driven information into clear, engaging content for non-expert audiences.
  • Excellent written and verbal communication skills, with attention to detail.
  • Experience managing multiple projects and deadlines in a fast-paced environment.
  • Familiarity with digital communications platforms and social media.
  • Ability to work collaboratively and build relationships with academic researchers and administrators.

A cover letter is required for consideration.

 

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor. 


Required Experience

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About Boston University

Sourced by ZipRecruiter

Boston University is an international, comprehensive, private research university, committed to educating students to be reflective, resourceful individuals ready to live, adapt, and lead in an interconnected world. Boston University is committed to generating new knowledge to benefit society. We remain dedicated to our founding principles: that higher education should be accessible to all and that research, scholarship, artistic creation, and professional practice should be conducted in the service of the wider community—local and international. These principles endure in the University’s insistence on the value of diversity, in its tradition and standards of excellence, and in its dynamic engagement with the City of Boston and the world. Boston University comprises a remarkable range of undergraduate, graduate, and professional programs built on a strong foundation of the liberal arts and sciences. With the support and oversight of the Board of Trustees, the University, through our faculty, continually innovates in education and research to ensure that we meet the needs of students and an ever-changing world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

Year founded

1839

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