Senior Data Science Analyst in Work From Home at Maximus

Date Posted: 5/6/2021

Job Snapshot

Job Description

MAXIMUS is seeking a Senior Data Science Analyst to develop and lead efforts in operationalizing data science to support our Standardized Operations and Analytics group within our Health and Human Services division. This exciting opportunity will provide insights by leading analytic practices – including designing new and creative advanced analytical solutions – that will become part of our core analytical product offerings. The selected candidate will work closely as part of a cross-functional team to identify and prioritize actionable, high-impact insights connected to many different areas of our business processes. A Senior Data Science Analyst works with the entire lifecycle of analytics initiatives (research, design, implementation and validation) of machine learning and predictive algorithms to analyze program performance and improve operational processes. This role will also participate in other continual process improvement activities, help with project management, and execute ad-hoc requests, as needed. The role is fully remote, with limited travel requirements, but travel may be up to 25% time when necessary. Overall, most of the team experiences 10-15% travel time on an annual basis.

 Job Summary

Essential Duties and Responsibilities: - Capture, define, document, and maintain clear, accurate, and correctly detailed BPMN 2.0-based process models. - Create and manage allied process documentation including business needs statements, business requirements, use case documentation, test plans, report specifications; ensuring all required process documentation is accurate, correctly detailed, maintained and organized in the appropriate repository. - Design, execute and evaluate test plans to ensure source data are accurately represented in presentation data objects (dashboards/reports). - Facilitate discussion among process stakeholders (both technical and non-technical) to elicit, analyze, communicate (both written and verbally) and validate requirements, process design, and business intelligence/reporting needs. - Mentor, train, and provide guidance, background information, and assistance to managers, analysts and other staff on standards and best practices in the following areas: business and operational analysis, and interpretation and effective use of process models, presentation objects and other analysis artifacts. - Plan and execute analysis – often interrogating data and other information to perform root cause analysis, impact assessments, or to identify key measures and indicators of process performance making recommendations to improve or correct performance - Ensure requirements are met and intended benefits are realized through the effective use of data via a range of visualizations (e.g, dashboards, reports), and alerts while instituting standards and best practices. Minimum Requirements: - Bachelor's degree with 5+ years of experience. - Advanced degree or professional designation preferred. - Develops solutions to a variety of complex problems. - Work requires considerable judgment and initiative. - Exert some influence on the overall objectives and long-range goals of the organization.

Education and Experience Requirements
  • Partner with stakeholders across the business to apply appropriate statistical analysis and quantitative methods to create datasets, analyze existing data, and predict future trends
    • Provide strategic expertise in machine learning and data mining techniques to identify and apply appropriate techniques, including optimization, simulation, regression, decision trees, neural networks, cluster analyses, mixed models, etc.
    • Comfortably navigate the entire lifecycle of an analytics initiative – from leading meetings to gather business requirements, selecting datasets, defining appropriate analytics paths to apply, to documenting processes and presenting compelling results that drive outcomes
    • Focus on process design and ongoing operational decision support, particularly around staffing optimization, when integrating and using simulation tools
    • Expand datasets, enhance data quality, create automated anomaly detection systems, and see issues to resolution
    • Balance accuracy of analysis with needs for rapid response – using many types of data, business acumen, and strategic assumptions when data doesn’t exist
    • Manage third party relationships to extend data and capabilities, when needed
    • Clear understanding of the uses and limitations of statistical applications, and ability to communicate relevant information with a wide variety of audiences
  • Other duties as assigned

Education and Experience Requirements

  • BS in a quantitative field such as Statistics, Mathematics, Management Information Systems (MIS), Economics, Computer Science, Business Analytics, or related discipline
  • Advanced degree in Computer Science, Mathematics, Information Systems, Business Analytics, MIS, Engineering, or a related technical field preferred.

• 5+ years of experience in data analysis with heavy emphasis on data-driven decision making and applied statistics
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naïve Bayes, SVM, decision forecasts, etc.
• 3+ years’ experience working with common data science toolkits such as R, Weka, Python/NumPy, MatLab, etc.
• Completed education in Statistics, Mathematics, Operations Research, Computer Science, Machine Learning, or a related field – Master’s or PhD preferred
• Excellence in one or more of the following areas: speech/text analytics, data visualization tools, large datasets, distributed computing tools, query languages, or relational databases
• Works well both independently with minimal supervision and cooperatively in a technical team
• Self-motivated individual with a strong passion for creating empirical research and answering complex questions with data
• Ability to clearly communicate data findings to educate partners, motivate action, and improve business outcomes
• Experience with government sponsored health care programs and contact center operations desirable

Since 1975, Maximus has operated under its founding mission of Helping Government Serve the People, enabling citizens around the globe to successfully engage with their governments at all levels and across a variety of health and human services programs. Maximus delivers innovative business process management and technology solutions that contribute to improved outcomes for citizens and higher levels of productivity, accuracy, accountability and efficiency of government-sponsored programs. With more than 30,000 employees worldwide, Maximus is a proud partner to government agencies in the United States, Australia, Canada, Saudi Arabia, Singapore and the United Kingdom. For more information, visit

EEO Statement: Active military service members, their spouses, and veteran candidates often embody the core competencies Maximus deems essential, and bring a resiliency and dependability that greatly enhances our workforce. We recognize your unique skills and experiences, and want to provide you with a career path that allows you to continue making a difference for our country. We’re proud of our connections to organizations dedicated to serving veterans and their families. If you are transitioning from military to civilian life, have prior service, are a retired veteran or a member of the National Guard or Reserves, or a spouse of an active military service member, we have challenging and rewarding career opportunities available for you. A committed and diverse workforce is our most important resource. Maximus is an Affirmative Action/Equal Opportunity Employer. Maximus provides equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disabled status.


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