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Freelance Data Science Engineer Jobs (NOW HIRING)

Deloitte

AI and Data Science Engineer (TS/SCI Poly)

Mclean, VA · On-site

$115.70K - $139K/yr

Share: Share AI and Data Science Engineer (TS/SCI Poly) with Facebook Share AI and Data Science Engineer (TS/SCI Poly) with LinkedIn Share AI and Data Science Engineer (TS/SCI Poly) with Twitter ...

InfoVision, Inc.

Lead Data Science Engineer

Irving, TX

$98.40K - $129.60K/yr

Lead Data Science Engineer (AI/ML & GenAI) Location: Irving TX - Onsite Duration: 12 months About the Role We are seeking a highly skilled Lead Data Science Engineer to spearhead the design ...

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 ...

Qorvo, Inc.

Staff Data Science Engineer

Richardson, TX · On-site

Role Summary We are looking for a Staff Data Science Engineer to lead the design and delivery of scalable data science, machine learning, and analytics solutions that create measurable business value ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

Recruit and manage freelance creators & experts from the data science, AI, analytics, business intelligence, data engineering, and cloud communities. * Edit the work of freelancers and ensure that ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

Recruit and manage freelance creators & experts from the data science, AI, analytics, business intelligence, data engineering, and cloud communities. * Edit the work of freelancers and ensure that ...

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

As of May 31, 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
AI and Data Science Engineer (TS/SCI Poly)

AI and Data Science Engineer (TS/SCI Poly)

Deloitte

Mclean, VA • On-site

$115.70K - $139K/yr

Full-time

Posted 5 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

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