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About the Role
We are seeking an individual to transform concepts into practical analytic solutions. The ideal candidate will bring structure to ambiguous questions, identify key areas for understanding, and thoughtfully plan a clear path forward. This role requires a strong analytical foundation combined with the ability to apply knowledge and determine the most suitable approach for the problem at hand. You will maintain momentum from the initial question through the final deliverable, focusing on producing sound, understandable, and actionable work. A proven track record of successfully completing such work in a professional setting is essential.
Responsibilities
- Operationalize research questions from management and clients into robust analytic frameworks, research activities, and deliverables with minimal direction.
- Explore and profile data sources to understand their structure, quality, and limitations; build reliable datasets and develop meaningful features for analysis and modeling.
- Research and evaluate analytic methods, tools, packages, and implementation options, then select the approach best suited to the question, data, intended use, and computing environment.
- Develop analyses and models using appropriate statistical, machine learning, and other analytic methods, following a disciplined, iterative process that includes clear planning, documentation, testing, and review.
- Design and carry out appropriate validation, using methods such as baseline comparisons, test cases, sensitivity analyses, and record-level review.
- Produce clear, well-supported deliverables, such as reports and presentations, that explain the data and methodology, interpret findings, and provide conclusions and recommendations to technical and non-technical audiences.
- Collaborate with stakeholders to understand the policy and operational context, refine analytic approaches, and incorporate feedback throughout the development process.
- Stay current on relevant analytic methods, tools, and applications; contribute to the development of the company’s institutional knowledge.
Requirements
- M.S. or Ph.D. in data science, computer science, statistics, applied mathematics, engineering, economics, or a related quantitative field, plus at least 3 years of relevant professional experience; or a bachelor’s degree in a related field plus at least 5 years of relevant professional experience.
- Strong theoretical grounding in statistical and machine learning methods, with professional experience selecting, implementing, and evaluating methods in practice.
- Familiarity with predictive modeling, anomaly detection, graph and network analytics, and natural language processing.
- Experience performing analyses using Python, R, or SQL.
- Ability to write clearly and communicate effectively with technical and non-technical audiences.
- Strong interest in social science research.
- Capable of working with minimal supervision and a high level of initiative.
- Practical approach to problem-solving.
- Comfortable working both independently and collaboratively on client-facing projects.
- Demonstrated ability to organize work effectively, communicate progress and challenges, and drive work to completion.
- Experience developing and delivering analytic work in a consulting or other client-facing environment.
- Experience implementing approaches in a professional setting in one or more of the following analytic areas: predictive modeling, anomaly detection, graph and network analytics, or natural language processing.
- Knowledge of healthcare data, policy, and program integrity efforts strongly preferred (e.g., Medicare policy, CMS data).
- Ability to work in the U.S. without a need for current or future visa sponsorship.
- Staff will be required to complete a successful background investigation, including the Questionnaire for Public Trust Position SF-85.
Skills
- Python
- R
- SQL
- Statistical methods
- Machine learning
- Predictive modeling
- Anomaly detection
- Graph and network analytics
- Natural language processing
Location
- San Francisco
Work Type
- Full-time
- Onsite
Experience Level
- 3+ years of relevant professional experience (with M.S. or Ph.D.)
- 5+ years of relevant professional experience (with Bachelor's degree)
Education Level
- M.S. or Ph.D. in data science, computer science, statistics, applied mathematics, engineering, economics, or a related quantitative field
- Bachelor's degree in a related field
About the Company
- Emendata helps organizations with a social mission tackle problems using analytics, handling the entire process from data wrangling to actionable insights.
- The team focuses on healthcare program integrity, safeguarding programs like Medicare and Medicaid by preventing fraud, waste, and abuse.
- The company is seeking individuals who enjoy solving complex problems, want their work to have a meaningful impact, and maintain high standards.
Equal Opportunity
- Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for employment.