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Remote Data Scientist Jobs (NOW HIRING)

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation: Not specified Work Model ... Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ...

Data Scientist

Miami, FL ยท On-site +1

AIS is seeking a Data Scientist to support NOAAs SEFSC Advanced Technology and Innovation Branch ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

AIS is seeking a Data Scientist to support NOAAs SEFSC Advanced Technology and Innovation Branch ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

Data Science Analyst - Remote

Brentwood, TN ยท On-site +1

$75K - $87K/yr

The Data Scientist leverages machine learning, statistical modeling, and modern AI techniques to ... This is a Full Time, remote, Data Science Analyst role. What You'll Do * Analysis, Model ...

The data scientist will collect, process, and analyze large data sets to uncover trends, patterns ... Through a remote-first, flexible environment, we prioritize psychological safety, wellbeing and ...

๐Ÿง‘๐Ÿผ ๐Ÿ’ป Data Scientist ๐ŸŽจ About OpenArt OpenArt is an AI Storytelling and Visual Creation ... We'll consider remote

We are looking for a highly technical Data Scientist to join our established Analytics department ... Remote work opportunity! * B2B Employment ($, gross). * Stable job with long-term growth ...

Data Scientist

Arlington, VA ยท On-site +1

Data Scientist About the Organization Now is a great time to join Redhorse Corporation. Our mission ... for remote work to be determined by the program manager and customer. Essential Functions:

Clinical Data Scientist

Irving, TX ยท On-site +1

$130K - $160K/yr

Clinical Data Scientist Job Summary The RedSail Technologies Network Services Business Unit has the ... Position is performed in a general office environment, home office, or approved remote workspace ...

Data Scientist

New York, NY ยท On-site +1

$109K - $173K/yr

Data Scientist to participate in the development, validation, and delivery of algorithms ... Hybrid position: remote work permitted but must live within commuting distance of designated office ...

Data Scientist

Mountain View, CA ยท On-site +1

$170K - $216K/yr

Waymo data scientists work hand-in-hand with engineering teams at each stage of the software ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Data Scientist Remote [within the US] ABOUT THE ROLE: We're looking for a Data Scientist to join our Data Sciences and ML Engineering team. You'll be building, shipping, and improving the models and ...

Data Scientist Remote [within the US] ABOUT THE ROLE: We're looking for a Data Scientist to join our Data Sciences and ML Engineering team. You'll be building, shipping, and improving the models and ...

Data Scientist 3

Lititz, PA ยท On-site +1

$130K - $150K/yr

The Data Scientists are responsible for supplying statistical rigor to the organization's analytics ... This role can be remote in some US states (See below for remote work requirements) or based in one ...

Data Scientist Remote [within the US] ABOUT THE ROLE: We're looking for a Data Scientist to join our Data Sciences and ML Engineering team. You'll be building, shipping, and improving the models and ...

Sr Data Scientist

Lititz, PA ยท On-site +1

The Data Scientists are responsible for supplying statistical rigor to the organization's analytics ... This role can be remote in some US states (See below for remote work requirements) or based in one ...

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Remote DATA Scientist information

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$37.5K

$122.7K

$196.5K

How much do remote data scientist jobs pay per year?

As of Jun 30, 2026, the average yearly pay for remote 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 the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficient analysis.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

What Is the Job of a Remote Data Scientist?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for human expertise in designing models, interpreting results, and making strategic decisions. Data scientists are increasingly required to work alongside AI tools, leveraging skills in programming, statistics, and domain knowledge to develop and refine AI systems. The demand for data scientists remains strong as organizations seek to extract insights and create value from complex data sets.

Can I get a remote job as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, statistical analysis, and tools like Python or R, along with good communication abilities. Job seekers should review specific job descriptions to confirm remote work options and requirements.

What are remote data scientists?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

What cities are hiring for Remote Data Scientist jobs? Cities with the most Remote Data Scientist job openings:
What are the most commonly searched types of Data Scientist jobs? The most popular types of Data Scientist jobs are:
What states have the most Remote Data Scientist jobs? States with the most job openings for Remote Data Scientist jobs include:
Infographic showing various Remote Data Scientist job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Data Scientist

System One

Mclean, VA โ€ข Remote

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago


Job description

Job Title: Data Scientist Location: McLean, VA Type: Contract To Hire Compensation: Not specified Work Model: Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal.dinnocenti@systemone.com RESPONSIBILITIES

  • Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions.
  • Design and develop machine learning models and analytical approaches to support search, discovery, and insight generation across structured and unstructured data.
  • Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced information retrieval and relationship analysis.
  • Leverage document-based data (e.g., OCR/ICR outputs, metadata, and free text) to extract insights and support downstream analytics and search solutions.
  • Collaborate with data engineers to integrate models into production environments, including Palantir Foundry, Databricks, and AWS-based platforms.
  • Develop model evaluation frameworks, confidence scoring, and explainability approaches to ensure transparency and usability of AI outputs.
  • Support development of analytics, reporting, and dashboards to drive operational insights and decision-making.
  • Operate within an Agile delivery model, contributing to sprint planning, experimentation, and iterative solution delivery.
  • Communicate findings and recommendations clearly to both technical and non-technical audiences, including client stakeholders.
  • Contribute to solution design, proposal support, and thought leadership in AI/analytics capabilities.
REQUIREMENTS
  • Bachelorโ€™s or Masterโ€™s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
  • A minimum of 4 years of experience in data science, machine learning, or applied analytics roles.
  • U.S. Citizenship required and ability to obtain and maintain a Public Trust clearance.
  • Experience developing and applying machine learning models, including: Natural Language Processing (NLP), Semantic search or information retrieval, Entity resolution or relationship modeling.
  • Experience working with large-scale structured and unstructured data, particularly document-based datasets (e.g., text, PDFs, images).
  • Experience leveraging metadata and extracted features to support analytics and modeling.
  • Strong proficiency in Python for data science and machine learning (e.g., Pandas, Scikit-learn, PyTorch or TensorFlow) and solid SQL skills.
  • Experience working with Databricks and/or Spark-based environments for scalable data processing.
  • Familiarity with AWS cloud services for data access, processing, or model deployment.
  • Experience working with data lake or lakehouse architectures (e.g., AWS S3, Databricks), including querying and transforming large-scale datasets.
  • Experience integrating models into production environments (e.g., APIs, batch pipelines, or embedded analytics platforms).
  • Understanding of model evaluation, validation, and performance metrics.
  • Strong communication skills and ability to translate analytical outputs into actionable insights.
  • Experience working in cross-functional, matrixed teams in an Agile environment.

ing outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. #M1 #LI-CD1

Ref: #851-Rockville-S1