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Remote Data Scientist Jobs (NOW HIRING)

Data Scientist

Mclean, VA ยท Remote

$142K - $228K/yr

Overview The Data Scientist designs and builds the v1 rule-weighted composite scoring logic that ... This position is fully remote however travel in the DMV area will be expected. Responsibilities

New

Data Scientist (Remote)

VA ยท On-site +1

General information Job Posting Title Data Scientist (Remote) Date Tuesday, August 4, 2026 City Remote Country United States Working time Full-time Description & Requirements Maximus is seeking a ...

Data Scientist

Chicago, IL ยท On-site +1

$139K - $144K/yr

Data Scientist $139,818.00 - $144,818.00 per year Ability to follow Edelman's hybrid in-office/remote policy in our Chicago, IL office (111 N Canal St, Chicago, IL 60606)is required. An employee ...

Team members who choose virtual / remote work should have an adequate space to serve as their home ... As a Data Scientist focused on revenue management, you will design and deploy advanced deep ...

Data Scientist

Bethesda, MD ยท On-site +1

The percentage of remote work will vary based on client requirements/deliverables Fun stuff you will do: * Work closely with a tight-knit team of data scientists, software developers, network ...

Data Scientist

Chantilly, VA ยท On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description ๏ปฟ SAIC is hiring a Data Scientist to deliver Systems Engineering Technical Advisor (SETA) support a program based in Chantilly, VA. This role ...

ABOUT THE ROLE The Data Scientist is a key driver of innovation, transforming data into actionable ... Team members who choose virtual / remote work should have an adequate space to serve as their home ...

Data Scientist

San Francisco, CA ยท On-site +1

$160K - $200K/yr

This is a remote position, but we do have an office in San Fransisco. You will be the first data scientist on the team working through and building models from scratch that will be pivotal for our ...

Data Scientist

OR ยท On-site +1

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Data Scientist

Doral, FL ยท On-site +1

$112K - $257K/yr

Remote Work: No Job Number: R0245993 Location: Doral,FL,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a ...

Team members who choose virtual / remote work should have an adequate space to serve as their home ... As a Data Scientist focused on revenue management, you will design and deploy advanced deep ...

Data Scientist

OR ยท On-site +1

$75K - $140K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment. IMPACT YOU'LL MAKE As a Data Scientist at BECU, you'll help shape how we understand ...

Data Scientist

San Francisco, CA ยท Remote

$160K - $200K/yr

This is a remote position, but we do have an office in San Fransisco. You will be the first data scientist on the team working through and building models from scratch that will be pivotal for our ...

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 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 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 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 ...

This position is fully remote. Duties & Responsibilities The Data Scientist will: * Build machine learning models for anomaly detection, performance forecasting, trend prediction, and automated root ...

Showing results 41-60

Remote Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do remote data scientist jobs pay per year?

As of Aug 14, 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 key skills and qualifications are 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 does a remote data scientist do?

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.

What is a remote data scientist?

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.

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:

Who are the top companies hiring for Remote Data Scientist jobs?

The top employers for Remote 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 August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Bigbear.ai

Mclean, VA โ€ข Remote

$142K - $228K/yr

Full-time

Posted 3 days ago

New


Job description

Overview

The Data Scientist designs and builds the v1 rule-weighted composite scoring logic that turns normalized risk signals into a transparent, defensible score. This role also prepares the scoring approach and model architecture for future interpretable ML-based scoring—ensuring explainability is preserved for adjudicator-facing workflows and audit needs. The ideal candidate blends practical applied data science with strong judgment around interpretability, traceability, and operational usability.

This position is fully remote however travel in the DMV area will be expected.


Responsibilities

  • Build and tune v1 rule-weighted composite scoring logic using normalized inputs from the common risk-signal schema.
  • Define scoring framework components (feature groupings, weights, thresholds, guardrails, and handling of missing/partial data).
  • Create interpretable explanations for scores and drivers suitable for adjudicator review (reason codes, key contributing signals, and traceable logic).
  • Design the scoring architecture to support evolution from rules/weights to interpretable ML models while maintaining auditability.
  • Prototype and evaluate interpretable model classes and explanation methods (e.g., SHAP-based explanations, constrained/monotonic models where appropriate, and rule-based hybrids).
  • Partner with data engineering and application teams to productionize scoring logic (data inputs, contracts, output formats, and performance expectations).
  • Establish validation and monitoring approaches (basic model/score QA, drift indicators, and score distribution checks).
  • Document scoring methodology, assumptions, and limitations for stakeholder understanding and accreditation/compliance artifacts as needed.

Qualifications

  • Clearance: Must maintain an active TS/SCI security clearance
  • Bachelor's Degree and 8 to 10 years of experience; Master's Degree and 6 to 8 years of experience; PhD and 3 to 5 years of experience (in lieu of Bachelor’s degree, 6 additional years of relevant experience)
  • 3–5 years of applied data science experience delivering scoring, ranking, or decision-support models.
  • Experience implementing interpretable approaches (rule-based systems, transparent composite scores, and/or explainability methods such as SHAP).
  • Strong Python skills, including scikit-learn and common data science workflows.
  • Hands-on experience with SQL for data analysis, feature development, and validation.
  • Ability to communicate scoring logic clearly to technical and non-technical stakeholders (including explaining tradeoffs between accuracy and interpretability).
  • Familiarity with adjudicative, compliance, fraud/risk, or other risk-scoring domains (preferred/bonus).
  • IC/DoD experience