Mission-Ready Data Scientist for Special Operations

Maximus; Dover (DE); Remote; EUR 80,000 - 115,000; Full time

Benefits offered by this job

Flexible work-life balance

Health insurance & benefits

401(k) with company match

Paid time off

Tuition reimbursement

Career development

Licensure support

Job summary

Maximus is seeking a Data Scientist to support the POTFF program, applying advanced analytics, ML, and data visualization to improve readiness and well-being of Special Operations Forces personnel and families.

The role involves modeling large datasets, conducting NLP, building features, and collaborating with product teams to design experiments and dashboards that inform decisions in a mission-critical context.

Qualifications

• Bachelor’s degree in data science, statistics, math, CS, or related field.
• 3+ years of relevant professional experience.
• 1-3+ years applying quantitative research to optimize human decisions using ML/DL.
• 1+ years using ML/DL frameworks and algorithms (CNN, GAN, LSTM, RNN, XGBoost).
• 1+ years data engineering experience with big data architectures on cloud platforms.

Responsibilities

• Perform data analysis and modeling on large datasets.
• Apply NLP and ML to improve relevance and personalization algorithms.
• Collaborate with product managers, engineers, and designers on experiments and MVPs.
• Ingest, clean, and prepare data for modeling; create features.
• Run A/B tests, analyze results, and communicate findings to stakeholders.
• Develop dashboards and automate data reports to inform program improvements.

Skills

Data analysis

Machine learning

Python

Communication

NLP

A/B testing

Education

Bachelor’s degree

Advanced degree preferred

Tools

Scikit-learn

PyTorch

TensorFlow

Spark

SQL

Job description

Maximus is seeking a Data Scientist to support the POTFF program, applying advanced analytics, ML, and data visualization to improve readiness and well-being of Special Operations Forces personnel and families.

The role involves modeling large datasets, conducting NLP, building features, and collaborating with product teams to design experiments and dashboards that inform decisions in a mission-critical context.