Data Scientist - Part Time

D&G Solutions; United States; Remote; USD 90,000 - 130,000; Part time

Benefits offered by this job

Competitive salary

Benefits

401(k)

Bonus and profit sharing

Flexible hours

Education reimbursement

PTO

Job summary

D&G Solutions is seeking a Data Scientist to develop statistically defensible representations of logistics-network behavior for modeling, simulation, and decision support. This role emphasizes statistical analysis over data pipelines or infrastructure.

You will collaborate with Operations Research Analysts and SMEs to convert observed data into defensible assumptions, quantify uncertainty, and clearly communicate confidence and limitations.

Qualifications

• Bachelor's degree in a quantitative field.
• 8+ years applying statistics to complex problems.
• Strong foundation in probability, inference, hypothesis testing, regression, and uncertainty quantification.
• Proficiency in Python and SQL with scientific libraries.
• Experience with exploratory analysis, fitting distributions, evaluating models, and Monte Carlo methods.
• Experience with modeling/simulation, OR, logistics analytics, or stochastic environments.

Responsibilities

• Perform exploratory data analysis to characterize distributions, variability, correlations, outliers, missingness, and seasonality in logistics data.
• Fit and validate probability distributions for key network variables and quantify uncertainty using Monte Carlo techniques.
• Develop and evaluate statistical and predictive models, including classification and clustering, to understand attention to logistics-system behavior.
• Assess data sufficiency, model assumptions, performance, and uncertainty to distinguish signals from noise.
• Translate empirical findings into defensible inputs and assumptions for modeling and simulation.
• Analyze simulation outputs for variability, confidence, convergence, and sensitivity with SMEs and Data Engineers.
• Translate results into decision-ready visualizations and documentation for reproducibility.

Skills

Python

SQL

Statistics

Exploratory data analysis

Monte Carlo

Model validation

Education

Bachelor's degree

Master's degree

Ph.D.

Tools

Pandas

NumPy

SciPy

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&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&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.