Data Scientist

Full Time
Mid Level
Analytica is seeking a remote Data Scientist to support data and analytics. The ideal candidate will be comfortable working directly with clients in both a consulting and delivery capacity to provide solutions that tackle complex problems. Analytica is looking for bright, motivated professionals looking to continue their career in the data analytics field. 

The data scientist supports the Centers for Medicare & Medicaid Services (CMS) in its mission to reduce fraud, waste, and abuse of Medicare/Medicaid programs by developing algorithms that identify potentially problematic providers using claims and other data sources for investigation. They will develop analyses using R, Python, SAS and/or SQL. The modeler may work across different project workstreams as needed to help identify vulnerabilities and provide analytic support to investigate special topics (e.g., COVID-19 related fraud). They will provide supporting documentation, business requirements, presentations, and other information as required around assigned analysis. A successful data scientist will be able to think creatively about the data sources and analytic/coding techniques needed to solve problems, connect policy to the analysis process and interpretation, follow project Standard Operating Procedures around documentation, methodology, and quality assurance, and communicate clearly internally and externally about the results of their work. Subject area or data knowledge of Medicare, Medicaid, health claims, fraud, waste and abuse and other healthcare finance topics are preferred but not required. The data scientist is required to build algorithms that align with existing priorities and will encompass various algorithm types (such as rules-based, machine learning).
Analytica has been recognized by Inc. Magazine as a fastest-growing private US small business.  We work with U.S. government customers in health, civilian, and national security missions.  Analytica offers competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match. 

Responsibilities include (but not limited to):
  • Develop algorithms from vulnerability through implementation.
  • Maintain all analysis documentation in accordance with SOP.
  • Identify any data or other issues to the Workstream lead as identified.
  • Work with task lead to complete and resolve any quality issues.
  • Develop supporting materials for the algorithm and analysis, including PowerPoint slides and summaries, that provides CMS and other contract team members the appropriate background and contextual information.
  • Provide guidance to Apprentices, as directed.
  • Perform preliminary analyses to produce data necessary to present new algorithms for approval during monthly collaboration and algorithm workgroup meeting.
  • Code and test algorithms using R and Python following best practices.
  • Complete Quality Control activities to assure error-free execution and efficient runtimes.
  • Use Atlassian Jira to document progress on assigned tasks.
  • Produce and update documents, including specifications and training documents required for algorithm approval for development and release.
  • Collaborate with stakeholders to understand their data analysis requirements and translate them into effective Power BI dashboards and reports.
  • Design and develop interactive and visually appealing Power BI reports, dashboards, and data visualizations.
  • Provide technical inputs to agile processes, such as epic, story, and task definition to resolve issues and remove barriers throughout the lifecycle of client engagements.
  • Mentor, help and grow junior team members.

Basic Qualifications:
  • Bachelor’s or Master’s degree with a concentration on data analytics, statistics, health policy, or public health.
  • R or Python, SQL, and SAS programming skills.
  • Healthcare and/or program integrity background preferred.
  • Familiarity with statistical programming concepts and best practices.
  • Familiarity with ML development concepts such as creating training/testing sets, building appropriate validation sets, understanding how to define a target, and algorithm evaluation criteria.
  • Machine learning skills required such as: experience building ML algorithms (e.g., regularized regression, random forest, XGBoost, neural networks, etc.)
  • Demonstrated SQL development experience by writing queries and procedures and performing Query optimization.
  • Strong candidates will describe their experience with investigating, reporting, and justifying algorithm results.
  • Experience in presenting the results of their algorithms, depicting the insights realized, and explaining the relevance of their results to the organization’s business challenges.
  • Ability to effectively communicate in writing and orally with a wide range of audiences and maintain interpersonal relationships.
  •  Ability to work within time constraints and manage multiple tasks against critical deadlines.
  • Must be able to obtain and maintain a Public trust security clearance.

Preferred Qualifications:
  • Healthcare and/or program integrity background.
  • CMS experience preferred.
  • Experience with Databricks or other notebook development environment.
  • Experience with ESRI or other geospatial mapping and analytics tools.
  • Experience with Tableau and data visualization techniques.
  • Experience with MLFlow, MLOps, and AI/ML programming techniques.

About Analytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.

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