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Part Time Data Science Neuroscience Jobs (NOW HIRING)

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Lecturer (Data Science) Position Number: Pending Hiring Unit: College of Natural and Health ... Positions are part-time, temporary, non-tenure, and contingent upon course offerings, sufficient ...

Showing results 21-40

Part Time Data Science Neuroscience information

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$41.5K

$142.5K

$201K

How much do part time data science neuroscience jobs pay per year?

As of Sep 11, 2026, the average yearly pay for part time data science neuroscience in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What is a part time data science neuroscience?

A part-time data science role in neuroscience involves applying data analysis, statistical modeling, and computational techniques to understand brain functions and neurological data while working fewer hours than a full-time position. These roles often support research projects, analyze large datasets such as brain imaging or behavioral data, and contribute insights to advance neuroscience discoveries. Part-time positions are ideal for students, professionals seeking flexible hours, or those balancing multiple commitments, allowing them to contribute valuable skills without a full-time commitment.

What are the key skills and qualifications needed to thrive as a part time data science neuroscience professional?

To thrive as a Part Time Data Science Neuroscience professional, you need a solid background in neuroscience, statistics, and data analysis, usually backed by a relevant degree or research experience. Familiarity with programming languages like Python or R, data visualization tools, and experience with neuroimaging software such as MATLAB or FSL are typically required. Strong critical thinking, problem-solving, and the ability to communicate complex findings clearly make candidates stand out. These skills and qualities are crucial for extracting actionable insights from complex brain data and contributing effectively to interdisciplinary research teams.

What are some common challenges faced by part time data science neuroscience professionals?

Part-time data scientists in neuroscience often face the challenge of balancing project timelines with limited hours, which can make it difficult to dive deeply into complex datasets or long-term experiments. They must quickly adapt to specialized neuroimaging tools and biological data formats, and frequent collaboration with neuroscientists means strong communication skills are essential for aligning analysis goals. Despite these challenges, many part-time roles offer opportunities to work on interdisciplinary teams, contribute to high-impact research, and develop expertise in both neuroscience and advanced analytics.
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Cities with the most Part Time Data Science Neuroscience job openings:

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Infographic showing various Part Time Data Science Neuroscience job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Data Scientist - Part Time

Remote

Full-time, Part-time

Retirement, PTO

Posted 25 days ago


Job description

Data Scientist
Remote | U.S. Citizenship Required | Security Clearance Eligibility Required | Part Time

Why This Role Exists
The work we do has real impact, and the people behind it matter just as much.

D amp;G is seeking Data Scientist to develop statistically defensible representations of logistics-network behavior for modeling, simulation, and decision support. This role characterizes variability and uncertainty, fits probability distributions for key network variables, develops statistical or predictive models where they add value, and evaluates simulation outputs. Working with Operations Research Analysts and technical SMEs, the Data Scientist converts observed data into defensible assumptions and clearly communicates confidence, uncertainty, and limitations. The role focuses on statistical analysis rather than data pipelines, database architecture, or simulation software infrastructure.

What You Will Do

  • Perform exploratory data analysis to characterize distributions, variability, correlations, outliers, missingness, seasonality, and other patterns in logistics and operational data.
  • Fit and validate probability distributions for key network variables and quantify uncertainty using statistical methods, sensitivity analysis, resampling, and Monte Carlo techniques.
  • Develop and evaluate statistical and predictive models, including classification, clustering, and anomaly detection, to improve understanding of logistics-system behavior and support mission decisions.
  • Assess data sufficiency, model assumptions, performance, and uncertainty to distinguish meaningful signals from noise and identify additional data needs.
  • Partner with Operations Research Analysts to translate empirical findings and probability distributions into defensible stochastic inputs, parameters, and assumptions for modeling and simulation.
  • Analyze simulation outputs for variability, confidence, convergence, sensitivity, and statistical significance, collaborating with Data Engineers, Database Architects, and Logistics SMEs to validate analytical fitness.
  • Translate results into decision-ready visualizations and findings, and document methods, assumptions, code, diagnostics, limitations, and data provenance to support reproducibility and government delivery.

What We Are Looking For

Required

  • Bachelor's degree from an accredited university in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Engineering, Economics, or a related quantitative field.
  • 8+ years of experience applying statistics, probability, data science, or predictive analytics to complex operational or mission problems.
  • Strong foundation in probability distributions, statistical inference, hypothesis testing, regression, uncertainty quantification, and model validation.
  • Proficiency in Python and SQL, including practical use of common scientific and statistical analysis libraries.
  • Demonstrated experience performing exploratory analysis, fitting distributions, evaluating statistical models, Monte Carlo techniques, and communicating analytical findings to technical and non-technical audiences.
  • Experience working with modeling and simulation, operations research, logistics analytics, or other stochastic analytical environments.

Preferred

  • Master's degree or Ph.D. in Statistics, Data Science, Operations Research, Applied Mathematics, Engineering, or a related quantitative field.
  • Experience with Bayesian analysis, survival/reliability analysis, time-series analysis, or other techniques relevant to logistics-network uncertainty.
  • Experience supporting Federal Government or Department of War modeling, simulation, analytics, or decision-support programs using logistics, transportation, aviation, cargo, UAS, operational-energy, or other mission-performance data.

Location

  • Remote
  • 10% Travel to client site in Washington, D.C. as needed.

Clearance and Eligibility

  • Must be a U.S. citizen and able to attain a security clearance.

  • This role is restricted to U.S. person(s) (U.S. citizens, permanent residents, and other protected individuals under 8 U.S.C. 1324b(a)(3)).

Who We Are
At D amp;G Solutions, people come first; our teammates, customers, and the communities we serve.
We are one of the fastest growing companies in the Washington, DC area and proud to be recognized nationally as a Best Place to Work. As an 8(a), Service-Disabled Veteran Owned, and Women Owned Small Business, we bring ownership, accountability, and care to everything we do. We also deeply believe in giving back and proudly support organizations such as Homes for Our Troops, SemperK9, and Wreaths Across America.
Our teams are welcoming, collaborative, and deeply committed to mission success. We believe great work happens when people feel supported, respected, and trusted, and we work hard to create that environment every day.

What We Offer
Competitive salary | Benefits | 401(k) | Bonus and profit sharing | Flexible hours | Education reimbursement | PTO

Final Note
If you want to work for a company that cares about its people, contribute to a mission that truly matters, and be part of a team where you are valued for who you are as well as what you do, we would love to hear from you.