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Remote Freelance Data Scientist Jobs (NOW HIRING)

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

  • PTO

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

  • PTO

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Mindrift

Freelance Data Scraping Engineer (Python)

$37/hr

This part-time remote opportunity is ideal for technical professionals with hands-on experience in ... Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related ...

Mondo

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Senior Data Scientist , Remote. Start date is ASAP for this 12 Month Contract position. Job Title: Senior Data Scientist Location/Type: Remote (Candidate must reside in Pacific, Mountain, or Central ...

Lorven Technologies

Data Scientist

Data Scientist Location : Remote Duration: Long term * Bachelor's degree or Master's Degree in Computer science, or a related field, with minimum 10+ Years of relevant experience. * Must be ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in ...

GD Resources LLC

Data Scientist - Remote Role

Remote Position Summary The Senior Data Scientist provides advanced analytical expertise supporting the SBA OIG Technology Solutions Division through the design, development, deployment, and ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0241352 Location: Washington,DC,US Share job via: Share Data Scientist The Opportunity : As a data scientist, you're excited at the prospect of unlocking the secrets held ...

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Remote Freelance Data Scientist information

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How much do remote freelance data scientist jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote freelance data scientist 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.

What is a remote freelance data scientist?

Remote freelance data scientists are professionals who analyze and interpret complex data sets to help organizations make informed decisions, while working independently and from a location of their choice. They are not tied to a single employer, instead taking on projects for various clients on a contract basis. Their responsibilities typically include data cleaning, statistical analysis, machine learning model development, and presenting insights, all performed remotely. This role offers flexibility and the opportunity to work with diverse clients and industries.

What is the difference between Remote Freelance Data Scientist vs Remote Data Analyst?

AspectRemote Freelance Data ScientistRemote Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like CAP or Microsoft Certified Data Analyst are commonUsually holds a degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentIndependent, project-based, often remote; collaborates with clients or companies on specific data projectsRemote or on-site; works within organizations analyzing data to support decision-making
Employer & Industry UsageFreelance platforms, consulting firms, startups, tech companiesCorporations, finance, healthcare, marketing departments

The main difference is that a Remote Freelance Data Scientist works independently on complex data modeling and machine learning projects, while a Remote Data Analyst focuses on interpreting data through reports and visualizations within organizations. Both roles require strong analytical skills, but the freelance data scientist often handles more advanced modeling tasks.

How do remote freelance data scientists typically manage communication and collaboration with clients and team members across different time zones?

Remote Freelance Data Scientists often work with clients and teams located in various regions, making clear and consistent communication essential. They commonly rely on collaboration tools like Slack, Zoom, and project management platforms to share progress, clarify requirements, and provide updates. Setting expectations around response times, scheduling regular check-ins, and documenting work thoroughly help ensure smooth collaboration despite time zone differences. Proactively managing these aspects not only keeps projects on track but also builds trust with clients and colleagues.

What are the key skills and qualifications needed to thrive as a remote freelance data scientist?

To thrive as a Remote Freelance Data Scientist, you need strong statistical analysis, machine learning expertise, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with data visualization tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Google Cloud), and version control systems (e.g., Git) is highly valuable. Excellent communication, self-motivation, and time management skills help you deliver results and collaborate effectively with clients remotely. These skills and qualities are crucial for independently managing projects, interpreting complex data, and building client trust in a competitive freelance market.
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Remote Freelance Data Scientist jobs near you

Data Scientist - Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

NAVA Software solutions is looking for a Data Scientist
Details:
Data Scientist
Location: Houston TX - Remote is ok
Duration: 12 months
Clients want a data scientist who can develop machine learning models to run forecast scenarios. Also, they want this person to be knowledgeable in AWS Cloud technology
A Data Scientist with physical pipeline experience typically specializes in analyzing and optimizing physical infrastructure pipelines, such as those used in the oil and gas industry or transportation networks. Here are some common job duties associated with this role:
  • Data collection and integration: Data scientists with physical pipeline experience gather data from various sources related to the infrastructure pipelines, such as sensors, SCADA (Supervisory Control and Data Acquisition) systems, or IoT devices. They integrate and consolidate the data for analysis and modeling.
  • Pipeline performance analysis: These professionals analyze the performance of physical pipelines by examining data related to flow rates, pressure levels, temperature, corrosion, and other relevant factors. They use statistical techniques and machine learning algorithms to identify patterns, anomalies, and potential issues that may affect pipeline operations.
  • Predictive modeling and maintenance optimization: Data scientists develop predictive models to forecast pipeline performance and detect potential failures or maintenance needs. They utilize historical data, sensor measurements, and other relevant parameters to train models that can predict future events, such as leaks, blockages, or equipment failures. By identifying critical maintenance requirements in advance, they can optimize maintenance schedules and minimize downtime.
  • Risk assessment and mitigation: Data scientists assess risks associated with physical pipelines, such as environmental hazards, security threats, or regulatory compliance. They develop risk assessment models and analyze the impact of different factors on pipeline safety and integrity. Based on these analyses, they propose mitigation strategies to minimize risks and ensure compliance with safety regulations.
  • Optimization of pipeline operations: Data scientists work on optimizing the operational efficiency of physical pipelines. They analyze data to identify areas of improvement, such as reducing energy consumption, optimizing transportation routes, or improving overall system performance. By applying data-driven approaches and algorithms, they provide recommendations to optimize pipeline operations and maximize efficiency.
  • Visualization and reporting: Data scientists with physical pipeline experience create visualizations, reports, and dashboards to communicate their findings and recommendations effectively. They present complex data in a visually understandable format, allowing stakeholders to make informed decisions regarding pipeline maintenance, operations, and risk management.
  • Collaboration with cross-functional teams: These professionals collaborate with engineers, domain experts, operations personnel, and other stakeholders involved in managing physical pipelines. They work together to understand the specific requirements, constraints, and challenges associated with the infrastructure. Effective communication and teamwork are essential to ensure alignment and successful implementation of data-driven solutions.
  • Continuous improvement and innovation: Data scientists keep up with the latest advancements in data science, machine learning, and pipeline technologies. They explore new methodologies, algorithms, and tools to enhance their skills and propose innovative solutions to address pipeline-related challenges.
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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