Work/life balance support with flexibility designed to meet your personal and professional needs. ? Robust Health & Insurance Benefits
Choose from a variety of Medical, Dental, Vision, and Prescription plans, plus a partially funded HSA. You'll also have access to Life Insurance and discounts on Auto, Home, Renters, and Pet Insurance. ? Build Your Financial Future
Take advantage of our 401(k) Retirement Savings Plan with Company Match to help you plan for what's ahead. ? Generous Time Away From Work
Recharge with PTO, paid holidays, extended sick leave, and Short and Long Term Disability coverage. ? Wellness Beyond the Workplace
Access resources that support your physical, emotional, and financial well-being through our Employee Assistance Program (EAP). ? Recognition That Matters
Celebrate achievements and recognize colleagues through our employee recognition platform. ? Invest in Your Growth
Continue your education and professional development with Tuition Reimbursement opportunities. ? Employee Discounts & Perks
Enjoy exclusive savings, special offers, and additional employee-only benefits. ? Wellness Programs & Resources
Explore a variety of programs and tools designed to support your overall health and wellness. ? Career Development Opportunities
Enhance your skills through training programs, workshops, conferences, and ongoing learning opportunities. ? Licensure & Certification Support
Maximus covers the costs associated with renewing required licenses and certifications.

Essential Duties and Responsibilities:

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.
Collect, validate, clean, integrate, and analyze data from multiple sources, including the Human Performance Data Management System (HPDMS).
Conduct exploratory, statistical, and predictive analyses to identify trends, correlations, risks, and opportunities related to human performance and mission readiness.
Develop and maintain databases, spreadsheets, reports, and automated dashboards that communicate program performance and outcomes.
Support survey design, administration, analysis, and interpretation to inform program improvements.
Collaborate with program staff, biostatisticians, clinicians, and other cross-functional partners to translate findings into actionable recommendations.
Develop, document, and refine analytical methods, models, and tools that address complex operational and health-related challenges.
Present analytical findings clearly to technical and nontechnical stakeholders while protecting sensitive information.
Perform other duties as assigned. Minimum Requirements
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. 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. 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