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Afternoon Remote Data Scientist Jobs (NOW HIRING)

Data Scientist

Mclean, VA · 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

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 · 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 ...

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 ...

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 ...

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 · 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

Chantilly, VA · On-site +1

$200K - $240K/yr

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

Data Scientist

Doral, FL · 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 ...

Data Scientist

OR · 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 ...

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

San Francisco, CA · 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 ...

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 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

Afternoon Remote Data Scientist information

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$46K

$165K

$243.5K

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

As of Aug 16, 2026, the average yearly pay for afternoon remote data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What cities are hiring for Afternoon Remote Data Scientist jobs?

Cities with the most Afternoon Remote Data Scientist job openings:

What are the most commonly searched types of Remote Data Scientist jobs?

The most popular types of Remote Data Scientist jobs are:

What states have the most Afternoon Remote Data Scientist jobs?

States with the most job openings for Afternoon Remote Data Scientist jobs include:

Data Scientist

Bigbear.ai

Mclean, VA • Remote

$142K - $228K/yr

Full-time

Posted 5 days ago


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