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Maximus is seeking a Data Scientist to support the POTFF program, applying advanced analytics to improve readiness and well-being of Special Operations personnel and families.
Position requires U.S. citizenship and an active or eligible Secret clearance. You will transform complex health and operation data into actionable insights, working with cross-functional teams to design experiments, models, and dashboards for evidence-based decisions.
Maximus is seeking a Data Scientist to support the Preservation of the Force and Family (POTFF) program. This position applies advanced analytics, statistical methods, and data visualization to improve the readiness, performance, resilience, and long-term well-being of Special Operations Forces personnel and their families.
In this role, you will convert complex operational and health data into practical insights that support evidence-based decisions and strengthen POTFF program outcomes. Your work will help advance mission readiness, resilience, and sustained performance across the Special Operations community.
U.S. citizenship is required. Candidates must possess an active U.S. Government Secret security clearance or be eligible to obtain and maintain a Secret security clearance as required for contract performance. This position is pending upon contract award.
Perform hands-on data analysis and modeling with huge data sets.
Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
Create and refine features from the underlying data.
Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.
1-3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning.
1+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).
1+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).
1+ years programming skill in Python, Scala, or Julia.
Working knowledge with modern cloud-based data storage and compute environments (e.g., AWS Sagemaker, Databricks in Azure, AI-platform in GCP, etc.).
Experience deploying ML models into discovery/production environment to drive insights using MLOps a plus.
Experience working in an agile delivery model a plus.
Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.
Ability to communicate complex ideas in a clear, precise, and actionable manner.
Excellent communication and presentation skills, with the ability to articulate new ideas and concepts to technical and non-technical partners.
PowerBI experience a plus.
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
$90,400
$129,400