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Freelance Data Science Engineer Jobs (NOW HIRING)

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Sr Data Science Engineer

$117K - $140K/yr

This is not a pure engineering role or a pure research role. You'll need both, and you'll need to move fluidly between them. What You'll Do: Data Science & Applied ML * Research, prototype, and ...

Mindrift

Freelance Data Scraping Engineer (Python)

$37/hr

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 ...

MDAEdge

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 ...

RDR Inc

Cyber Data Science Engineer

Chantilly, VA · On-site

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 ...

MiniMed

AI/Data Science Engineer II

Los Angeles, CA · On-site

$123K - $148K/yr

About the Role ThisAI/Data Science Engineer IIrole is focused on delivering big-data analytics solutions that drive decision support for the business. This role bridges advanced data engineering with ...

T-Mobile

Senior Data Science Engineer

Philadelphia, PA · On-site

$116K - $210K/yr

You'll collaborate with engineers, data scientists, product managers, and other stakeholders to solve complex problems and deliver innovative solutions at scale. We embrace Lean Development ...

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Freelance Data Science Engineer information

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$129.7K

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

As of Jul 11, 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 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 is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often focus on the most impactful variables or tasks to optimize model performance and efficiency, making it a useful principle for prioritization and resource allocation.

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 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.

Can a data scientist do freelancing?

A data scientist can work as a freelancer by offering services such as data analysis, modeling, and machine learning development independently. Freelance data scientists typically use tools like Python, R, and cloud platforms, and may need to build a portfolio and establish client relationships to succeed. This flexible work arrangement allows for project-based or part-time work outside traditional employment.

Can data engineers freelance?

Data engineers can work as freelancers, offering services such as data pipeline development, database management, and cloud infrastructure setup. Freelance data engineers typically need strong technical skills, experience with tools like SQL, Python, and cloud platforms, and may work on a project basis or hourly rate. Flexibility in schedule and the ability to manage multiple clients are common in freelance roles.

Is 40 too late for data science?

Age is not a barrier to becoming a freelance data science engineer. Success depends on skills, experience, and continuous learning of tools like Python, R, and machine learning techniques, regardless of age. Many professionals transition into data science later in their careers and find opportunities in the field.
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 Scraping Engineer (Python)

Mindrift

San Antonio, TX • Remote

$37/hr

Part-time

Re-posted 29 days ago

Job description

Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.

In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.

This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.

What We Do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

About the Role

This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.

Key Responsibilities

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Compensation

On this project, contributors can earn up to $37 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.

How to get started

Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you'll play a key role in advancing AI capabilities and real-world applications.

Requirements

  • At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).
  • Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.
  • Strong attention to detail and commitment to data accuracy.
  • Self-directed work ethic with ability to troubleshoot independently.
  • A link to GitHub is a plus.
  • English proficiency: Upper-intermediate (B2) or above (required).

Benefits

Why this freelance opportunity might be a great fit for you?

  • Work fully remote on your own schedule with just a laptop and stable internet connection.
  • Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly - a distinctive skill set in a rapidly growing field.
  • Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

Apply