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Freelance Data Science Engineer Jobs (NOW HIRING)

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Data Science Engineer Job Details * Data Science Engineer (Contract) * Location: Austin TX, 78758 (Hybrid) * Duration: 11/17/2025 to 11/13/2026 * Team: Fraud ADUS Key Responsibilities: * Develop and ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121.83K - $154.50K/yr

Wehave multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$134.30K - $161.30K/yr

Wehave multiple openings for a Data Science Engineer with a background in applied machine learning and data science for cybersecurity and power systems applications. You will design, build, and ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121.83K - $154.50K/yr

We have multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121.83K - $154.50K/yr

We have multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$134.30K - $161.30K/yr

We have multiple openings for a Data Science Engineer with a background in applied machine learning and data science for cybersecurity and power systems applications. You will design, build, and ...

LLNL

Data Science Engineer

Livermore, CA

$134.30K - $161.30K/yr

We have multiple openings for a Data Science Engineer with a background in applied machine learning and data science for cybersecurity and power systems applications. You will design, build, and ...

Booz Allen Hamilton

Data Science Engineer

Mclean, VA

$77.60K - $176K/yr

As a Data Science Engineer, you'll help build advanced technology solutions and implement data science and engineering activities on some of the most mission-driven projects in the industry. You'll ...

Booz Allen Hamilton

Data Science Engineer

Mclean, VA

$77.60K - $176K/yr

Data Science Engineer The Opportunity: As a Data Science Engineer, you'll help build advanced technology solutions and implement data science and engineering activities on some of the most mission ...

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI

$77.50K - $108.50K/yr

Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and Data Science team. The right candidate will be responsible for all aspects of selected data science ...

Booz Allen Hamilton, Inc.

Data Science Engineer

Mclean, VA · On-site

$77.60K - $176K/yr

Data Science Engineer The Opportunity: As a Data Science Engineer, you'll help build advanced technology solutions and implement data science and engineering activities on some of the most mission ...

Booz Allen Hamilton, Inc.

Data Science Engineer

Mclean, VA · On-site

$77.60K - $176K/yr

Share Data Science Engineer The Opportunity: As a Data Science Engineer, you'll help build advanced technology solutions and implement data science and engineering activities on some of the most ...

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI · On-site

$112.50K - $135.10K/yr

Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and Data Science team. The right candidate will be responsible for all aspects of selected data science ...

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI

$77.50K - $108.50K/yr

Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and Data Science team. The right candidate will be responsible for all aspects of selected data science ...

1 point system

Data Science Engineer

Century City, CA · On-site

Minimum 3 years working in a Data Science role * Bachelor's degree in a relevant field such Mathematics, Science, Engineering, Computer Science, or Business * Master's Degree in relevant discipline ...

Deloitte

AI and Data Science Engineer III

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Share this job: Share: Share AI and Data Science Engineer III with Facebook Share AI and Data Science Engineer III with LinkedIn Share AI and Data Science Engineer III with Twitter Caution against ...

Deloitte

Palantir AI and Data Science Engineer

Arlington, VA · On-site

$131.70K - $158.20K/yr

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Deloitte

Palantir AI and Data Science Engineer

Huntsville, AL · On-site

$112.80K - $135.50K/yr

Share this job: Share: Share Palantir AI and Data Science Engineer with Facebook Share Palantir AI and Data Science Engineer with LinkedIn Share Palantir AI and Data Science Engineer with Twitter ...

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Freelance Data Science Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Jun 1, 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 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 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 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 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:
Freelance Data Science Engineer jobs near you

Freelance Data Science Engineer (Python & SQL)

Mindrift

Remote

$90/hr

Part-time

Posted 11 days ago

Job description

Please submit your CV in English and indicate your level of English proficiency.
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
What this opportunity involves
While each project involves unique tasks, contributors may:
  • Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)
  • Create problems requiring Python programming to solve (using Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn)
  • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
  • Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction
  • Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility
  • Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency
  • Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)
  • Incorporate big data processing scenarios requiring scalable computational approaches
  • Verify solutions using Python with standard data science libraries and statistical methods
  • Document problem statements clearly with realistic business contexts and provide verified correct answers

What we look for
This opportunity is a good fit for Data Science specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
  • 5+ years of hands-on data science experience with proven business impact
  • Portfolio of completed projects and publications showcasing real-world problem-solving
  • Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)
  • Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications
  • Expert with SQL and database operations for data manipulation and analysis
  • Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)
  • Understanding of MLOps practices and model deployment workflows
  • Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)
  • Strong written English (C1+).

How it works
Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid
Project time expectations
For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
Compensation
On this project, contributors can earn up to $90 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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