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Data Scientist
AnalyticaSilver Spring, United Statesfull_timeVerifiedPosted 21 Feb 2025
About the role
Analytica is seeking a Data Scientist to support a mission critical endeavor. The ideal candidate will be comfortable working directly with clients in consulting and delivery capacity to provide solutions that tackle complex problems. Analytica is looking for bright, motivated professionals who want to continue their careers in the data analytics field.
The data scientist will support the agency’s mission to provide high-quality healthcare for beneficiaries and their families. The ideal candidate will work across different project workstreams to help identify vulnerabilities and provide analytic support to investigate special topics like the continuity of care as active-duty personnel transition to veteran status and VHA services. 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. The data scientist must build algorithms that align with existing priorities and will encompass various algorithm types (such as rules-based and machine learning). Experience delivering analytic dashboard products is required, and experience with AI/ML or LLM methods is desired.
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 are not limited to):
Basic Qualifications:
The data scientist will support the agency’s mission to provide high-quality healthcare for beneficiaries and their families. The ideal candidate will work across different project workstreams to help identify vulnerabilities and provide analytic support to investigate special topics like the continuity of care as active-duty personnel transition to veteran status and VHA services. 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. The data scientist must build algorithms that align with existing priorities and will encompass various algorithm types (such as rules-based and machine learning). Experience delivering analytic dashboard products is required, and experience with AI/ML or LLM methods is desired.
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 are not limited to):
- Develop algorithms from vulnerability through implementation.
- Provide supporting documentation, business requirements, presentations, and other information as required around the assigned analysis.
- Develop supporting materials for the algorithm and analysis, including PowerPoint slides and summaries, that provide team members with the appropriate background and contextual information.
- Perform preliminary analyses to produce data necessary to present new algorithms for approval during monthly collaboration and algorithm workgroup meetings.
- Complete Quality Control activities to ensure 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.
- Design and implement AI/ML methods, including LLM and bot technologies.
- Mentor, help, and grow junior team members.
Basic Qualifications:
- Bachelor’s or master’s in data analytics, statistics, health policy, or public health.
- 7+ years of experience of R or Python, SQL, and/or SAS programming skills.
- 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 re
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