Remote Data Scientist: Logistics Uncertainty Analytics

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

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.