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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Maximus, Inc. - **Location:** Riverview, FL, United States - **Experience:** Starter - **Salary:** $90,400 - $129,400 - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Information Systems, Computer Programming, Databases, Information Engineering, Data Governance, Data Mining, Data Visualization, Apache Hadoop, Apache Hive, Python (Programming Language), Machine Learning, Natural Language Processing, Power BI, Tensorflow, SQL Databases, Google Cloud, Data Storage Technologies, Pytorch, Snowflake, Apache Spark, Deep Learning, Keras, Scikit Learn, Information Technology, Statistics Packages, Data Analytics, Xgboost, Machine Learning Operations, Recurrent Neural Networks, Databricks - **Published:** October 27, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e8b4feeba7650bf7 ## About the Role * Bachelor's degree in relevant field of study and 3+ years of relevant professional experience required, or equivalent combination of education and experience. * 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. Job Specific Requirements: * Bachelor's degree in data science, statistics, mathematics, computer science, or a related field. * Demonstrated experience using statistical analysis tools, database systems, and data visualization platforms. * Experience preparing, analyzing, and interpreting complex datasets. * Ability to communicate technical findings to diverse audiences. * Security: Requires an active Secret security clearance and U.S. citizenship. * Survey Design & Analysis: Assist in designing surveys, collecting, and analyzing survey data to inform program improvements Collaboration: Work with cross-functional teams, including biostatisticians, to develop data-driven recommendations for SOF and family support initiatives. * Technical Solutions: Develop and refine analytical methods and tools to address complex operational and health-related challenges. * Experience supporting government, defense, military health, or human performance programs. * Experience developing automated dashboards, predictive models, or decision-support tools. * Knowledge of data governance, privacy, security, and quality-control practices. * Familiarity with multidisciplinary health, performance, or readiness data. * Skills: Proficiency in data analysis tools, statistical software, database systems, and visualization platforms. * Experience: Experience with government or defense-related data projects is preferred. #MAXHP #maxcleared #SPC26 ## Description 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. About the POTFF Program The Preservation of the Force and Family (POTFF) program supports U.S. Special Operations Forces (SOF) personnel and their families through an integrated, holistic approach to human performance, health, and readiness. The program brings together specialized professionals across physical, psychological, cognitive, social, and spiritual performance to strengthen resilience, optimize performance, and support long-term mission readiness and career longevity. U.S. citizenship is required. Candidates must possess an active U.S. Government security clearance or be eligible to obtain and maintain a security clearance as required for contract performance. This position is pending upon contract award. Candidates should be willing to support POTFF Operations at one of the following locations, * 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.