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Freelance Data Science Engineer Jobs (NOW HIRING)

Partner with data scientists and ML engineers to make datasets model-ready, including preparing multimodal data for AI and computer vision use cases. Technical environment: Python and Spark;

Principal Data Science Engineer

$138K - $185K/yr

They are seeking a high-impact principal data science engineer to join an early-stage team with a focus on creating large-scale positive impact in the world while generating substantial value in a ...

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. Daily Tasks include, but are not limited to: * Utilize analytical, statistical, and programming skills ...

Senior Data Science Engineer

Boston, MA ยท On-site

$115K - $156K/yr

The Crown Is Yours As a Senior Data Science Engineer, you'll help shape the advanced machine learning and quantitative research solutions behind our real-time pricing and market-making capabilities ...

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. Daily Tasks include, but are not limited to: * Utilize analytical, statistical, and programming skills ...

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. Daily Tasks include, but are not limited to: * Utilize analytical, statistical, and programming skills ...

Showing results 41-60

Freelance Data Science Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Aug 21, 2026, the average yearly pay for freelance data science engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a freelance data science engineer?

A Freelance Data Science Engineer is a professional who works independently on a contract or project basis to help organizations analyze complex data, build data pipelines, and develop machine learning models. Unlike full-time employees, freelancers typically work with multiple clients, offering their expertise in data wrangling, statistical analysis, and algorithm development as needed. They may assist with everything from data preprocessing to deploying data-driven solutions, often working remotely and with flexible schedules.

What are some common challenges faced by freelance data science engineers when managing multiple client projects simultaneously?

Freelance data science engineers often juggle several projects at once, which can make time management and prioritization particularly challenging. Balancing diverse client expectations, shifting project scopes, and overlapping deadlines requires strong organizational skills and clear communication. Additionally, freelancers must ensure data security and confidentiality across different clients, adapting to various data infrastructures and collaboration tools. Building a structured workflow and setting realistic timelines are key strategies to handle these challenges effectively.

What are the key skills and qualifications needed to thrive as a freelance data science engineer, and why are they important?

To thrive as a Freelance Data Science Engineer, you need a solid background in statistics, programming (typically Python or R), and data analysis, often supported by a relevant degree or equivalent experience. Familiarity with machine learning libraries (like TensorFlow or scikit-learn), cloud platforms (such as AWS or GCP), and data visualization tools is highly valuable. Strong communication, project management, and problem-solving skills set top freelancers apart by enabling effective client collaboration and clear presentation of findings. These competencies are crucial for delivering actionable insights, managing diverse projects independently, and building lasting client relationships.

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

AspectFreelance Data Science EngineerData Analyst
CredentialsTypically requires a degree in data science, computer science, or related fields; certifications like Python, R, or cloud platforms are commonUsually holds a degree in statistics, mathematics, or related fields; certifications may include Excel, SQL, or Tableau
Work EnvironmentIndependent, project-based work often remote; collaborates with clients across industriesOften employed within organizations or agencies; may work on ongoing internal projects
Industry UsageCommonly hired for complex data modeling, machine learning, and predictive analytics projectsFocuses on data reporting, visualization, and basic analysis to support business decisions

While both roles involve working with data, Freelance Data Science Engineers typically handle advanced analytics and machine learning projects independently, whereas Data Analysts focus on interpreting data through reports and visualizations within organizations.

What cities are hiring for Freelance Data Science Engineer jobs?

Cities with the most Freelance Data Science Engineer job openings:

What are the most commonly searched types of Data Science Engineer jobs?

The most popular types of Data Science Engineer jobs are:

What states have the most Freelance Data Science Engineer jobs?

States with the most job openings for Freelance Data Science Engineer jobs include:

Data Science Engineer Internship

Cccis

Chicago, IL โ€ข On-site

$20 - $43/hr

Part-time

Medical, Retirement, PTO

Posted 8 days ago


Job description

Pay Rate/Hourly Range:
  • The hourly range is $20.00 - $43.00 per hour.

  • Pay is based on factors including school year, program of study, role responsibilities, etc.

CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy, creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we're making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly.We're pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey.Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com.


The RoleOur program is designed to #CCCJumpstart your career! At CCC, you will work and learn alongside innovative and inspiring leaders and gain valuable technical experience while working on real business solutions in a corporate setting.


Key Responsibilities:

You'll join the Data Engineering team that builds the data and AI foundation for the company: the curated, governed, well-modeled data that powers analytics, machine learning, and generative AI across CCC. Interns work on real pipelines and real datasets serving the auto-insurance industry and internal teams.

Technology:

  • Databricks (Delta Lake, Unity Catalog, workflows)
  • PySpark / Spark
  • AWS (S3, EMR, Glue, Athena, Lambda)
  • Python and SQL
  • Apache Airflow
  • Data governance and data quality

What you'll do:

  • Build end-to-end pipelines that turn raw data into fully curated, enhanced datasets ready for analytics and model training.
  • Work with data across all three shapes: structured(relational databases, transactional tables), semi-structured(JSON, XML, compressed/zipped files), and unstructured(claim photos, estimate PDFs, repair notes, audio, and video).
  • Produce reusable data building blocks, data models, and data flows for varying client demands - dimensional models, data feeds, dashboard reporting, and data science research and exploration.
  • Develop and optimize Spark jobs on Databricks, including Delta Lake tables and incremental and batch processing patterns.
  • Apply data governance practices using Unity Catalog and AWS Glue Data Catalog: cataloging and lineage, access controls, PII handling, schema management, and data quality validation.
  • Use Apache Airflow to build DAGs that handle cross-DAG dependencies, orchestrate concurrent pipelines, monitor tasks, and alert when SLAs are not met.
  • Partner with data scientists and ML engineers to make datasets model-ready, including preparing multimodal data for AI and computer vision use cases.

Technical environment:Python and Spark; Databricks, Delta Lake, and Unity Catalog; AWS ecosystem (S3, EMR, Glue, Athena); Airflow for scheduling and monitoring of big data ETL pipelines; SQL for data profiling and validation; Unix commands and scripting; distributed computing and lakehouse fundamentals; Generative AI, and Agentic AI fundamentals.


Requirements:

In order tobe considered for this role youare required tobe in pursuit of an Associate, Bachelor'sorMaster'sthroughout your internship.

We are looking for candidates who offer strong collaborative skills and work well with a team. A strong interest in computer science and/or related fields is essential to the success of each intern.

If you have knowledge, through coursework or project work, of Python, Machine Learning, or Statistics/ Modeling, this opportunity is right for you.


Interview Policy & Privacy Notice:

A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE.


About CCC's Commitment to Employees:

CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most.

At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC's success.

CCC offers competitive compensation and benefits to support you and your families, including:

  • 401K Match

  • Paid time off

  • Annual Incentive Plan Performance Bonus

  • Comprehensive health insurance

  • Adoption Assistance

  • Tuition Reimbursement

  • Wellness Programs

  • Stock Purchase Plan options

  • Employee Resource Groups

For more information about our benefits, please check out our careers site.

Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

If you require reasonable accommodation to complete a job application, please contact (800) 621-8070.