
10,000+ employees
🏛️ Government
🏥 Healthcare
💼 Consulting
💰 $7.9M Post-IPO Equity - Maximus on 2010-12
Government • Healthcare • Consulting
Maximus is a public-sector services firm that partners with government agencies to modernize and operate programs across health, human services, defense, national security, and civilian agencies. The company combines technology (AI, analytics, cloud, cybersecurity), omnichannel contact center and eligibility/enrollment systems, clinical and Medicaid enterprise services, and consulting and program-delivery capabilities to improve citizen experience and program outcomes. Backed by decades of government experience and scale, Maximus supports federal, state, and local clients with human-centered operational support and end-to-end digital modernization.
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10,000+ employees
🏛️ Government
🏥 Healthcare
💼 Consulting
💰 $7.9M Post-IPO Equity - Maximus on 2010-12
Government • Healthcare • Consulting
Maximus is a public-sector services firm that partners with government agencies to modernize and operate programs across health, human services, defense, national security, and civilian agencies. The company combines technology (AI, analytics, cloud, cybersecurity), omnichannel contact center and eligibility/enrollment systems, clinical and Medicaid enterprise services, and consulting and program-delivery capabilities to improve citizen experience and program outcomes. Backed by decades of government experience and scale, Maximus supports federal, state, and local clients with human-centered operational support and end-to-end digital modernization.
• Perform hands-on data analysis and modeling with huge data sets • Apply data mining, NLP, and supervised and unsupervised machine learning to improve relevance and personalization algorithms • Collaborate with product managers, software engineers, and designers to design experiments and minimum viable products • Discover, access, import, clean, and prepare data sources for modeling • Create and refine features from underlying data • Run A/B tests, perform statistical analysis, determine optimization impact, and communicate results • Evaluate new design and technology shifts for potential customer benefits • Collect, validate, clean, integrate, and analyze data from multiple sources, including HPDMS • Conduct exploratory, statistical, and predictive analyses related to human performance and mission readiness • Develop and maintain databases, spreadsheets, reports, and automated dashboards • Support survey design, administration, analysis, and interpretation • Collaborate with program staff, biostatisticians, clinicians, and cross-functional partners to translate findings into recommendations • Develop, document, and refine analytical methods, models, and tools for operational and health-related challenges • Present findings to technical and nontechnical stakeholders while protecting sensitive information • Perform other duties as assigned
• Bachelor's degree in a relevant field and 3+ years of relevant professional experience, or equivalent combination of education and experience • Bachelor's degree in data science, statistics, mathematics, computer science, or a related field • Active Secret security clearance • U.S. citizenship • 1–3+ years applying quantitative research, machine learning, and/or deep learning to optimize human decisions • 1+ years using machine learning/deep learning frameworks such as Scikit-learn, PyTorch, TensorFlow, and Keras • Knowledge of algorithms including CNN, GAN, LSTM, RNN, and XGBOOST • 1+ years of data engineering experience with Hadoop, SQL, HIVE, Spark, Snowflake, or similar technologies on AWS, Azure, or Google Cloud • 1+ years programming in Python, Scala, or Julia • Working knowledge of cloud-based data storage and compute environments such as AWS SageMaker, Azure Databricks, or GCP AI Platform • Demonstrated experience with statistical analysis tools, database systems, and data visualization platforms • Experience preparing, analyzing, and interpreting complex datasets • Ability to communicate technical findings to diverse technical and nontechnical audiences • Experience supporting government, defense, military health, or human performance programs preferred • 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 • Experience deploying ML models with MLOps a plus • Agile delivery experience a plus • PowerBI experience a plus • Demonstrated leadership, self-direction, and willingness to teach and learn
• Flexibility designed to support work/life balance • Medical, Dental, Vision, and Prescription plans • Partially funded HSA • Life Insurance • Discounts on Auto, Home, Renters, and Pet Insurance • 401(k) Retirement Savings Plan with Company Match • PTO • Paid holidays • Extended sick leave • Short- and Long-Term Disability coverage • Employee Assistance Program (EAP) • Employee recognition platform • Tuition Reimbursement • Employee discounts and additional employee-only benefits • Wellness programs and resources • Training programs, workshops, conferences, and ongoing learning opportunities • Maximus covers costs associated with renewing required licenses and certifications
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