Data Scientist II - Remote

The Data Scientist II role at Maximus supports the United States Special Operations Command Preservation of the Force and Family (USSOCOM POTFF) program. This position is instrumental in leveraging advanced analytics, research methodologies, and machine learning techniques to develop high-value solutions aimed at enhancing the well-being of Special Operations Forces (SOF) service members and their families. The successful candidate will perform complex data analysis, build predictive models, and collaborate with multidisciplinary teams to design experiments and optimize program outcomes. This role requires a deep understanding of statistical analysis, data visualization, and software development, with an emphasis on translating data insights into actionable strategies that support the mission’s objectives., * Perform comprehensive data analysis, including data mining, exploratory analysis, predictive modeling, and statistical assessments.

• Apply advanced machine learning techniques, natural language processing, and data science methodologies to enhance relevance and personalization algorithms.
• Identify, access, clean, and prepare large, complex data sources for analysis and modeling.
• Develop, refine, and deploy features from raw data to improve model accuracy and effectiveness.
• Design and execute experiments, including A/B testing, to evaluate the impact of data-driven interventions.
• Create dashboards and automated analysis tools to monitor trends and identify insights within POTFF program data.
• Collaborate with product managers, software engineers, and designers to develop prototypes and minimum viable products.
• Communicate findings through reports, visualizations, and presentations to both technical and non-technical stakeholders.
• Support survey design, data collection, and analysis to inform program strategies and initiatives.
• Work closely with POTFF staff and biostatisticians to ensure data quality and integrity.
• Provide subject matter expertise in program evaluation, research methodologies, and data analysis best practices.
• Stay abreast of emerging technologies and incorporate innovative solutions to enhance program outcomes.

• Bachelor’s degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, or related technical field; advanced degree preferred.
• Minimum of 5 years of experience in data engineering, machine learning, and big data analytics architectures.
• Proficiency with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, Keras, and algorithms including CNN, GAN, LSTM, RNN, and XGBoost.
• Extensive programming experience in Python, Scala, or Julia.
• Hands-on experience with cloud platforms like AWS, Azure, or GCP, including data storage and compute environments such as Sagemaker, Databricks, or AI-platform.
• Experience deploying ML models into production environments with MLOps practices.
• Strong knowledge of big data tools such as Hadoop, Spark, SQL, HIVE, and Snowflake.
• Active U.S. Government Secret security clearance or eligibility to obtain one.
• U.S. citizenship is mandatory.
• Excellent communication, presentation, and interpersonal skills.
• Proven leadership, self-direction, and ability to work effectively in agile teams.
• Research experience with publications in scientific journals or conferences.
• Ability to analyze large datasets, develop visualizations, and communicate complex insights clearly to diverse audiences.

• Flexible work arrangements to support work/life balance.
• Comprehensive health, dental, vision, and prescription insurance plans, along with a partially funded Health Savings Account (HSA).
• Life insurance coverage and access to discounts on auto, home, renters, and pet insurance.
• 401(k) retirement plan with company matching contributions.
• Generous paid time off, paid holidays, extended sick leave, and disability coverage.
• Resources and programs to support physical, emotional, and financial wellness through our Employee Assistance Program (EAP).
• Recognition programs to celebrate achievements and milestones.
• Tuition reimbursement and professional development opportunities to support career growth.
• Exclusive employee discounts and perks on various products and services.
• Access to wellness programs and tools to promote overall health and well-being.
• Opportunities for skill enhancement through training, workshops, and conferences.
• Support for licensure and certification renewals at no cost to the employee.

Equal Opportunity

Maximus is a leading provider of government services committed to delivering innovative solutions that improve the efficiency and effectiveness of public sector programs. With a focus on health, justice, and human services, Maximus partners with federal, state, and local agencies to support mission-critical initiatives. The company prides itself on fostering a diverse and inclusive work environment, emphasizing professional growth, and maintaining high standards of integrity and excellence. Maximus’s dedication to social impact and operational excellence positions it as a trusted partner in public service delivery, ensuring that community needs are met with innovative, data-driven approaches.