Surescripts

Surescripts

Senior Data Scientist

United States, USA · Senior

No sponsorship$158k-$193kDetected 24 days ago
PythonMATLABAlgorithmsGitSQLNoSQLSnowflakeDatabricksGCPCloud PlatformsMachine LearningDeep LearningTensorFlowData AnalysisData ScienceData VisualizationNLPLLMsRAGMLOpsStatisticsProject ManagementTest AutomationSAS

About the role

  • The Senior Data Scientist is expected to possess expert business, data, and analytics expertise to handle complex advanced analytics initiatives.

Responsibilities

  • Model Development: Design, build, and validate predictive models to solve business problems. Provide team leadership to ensure provenance and traceability in MLOps development cycles.
  • Data Visualization: Create compelling visualizations to communicate findings and insights to stakeholders.
  • AI-Assisted Planning & Design: Use AI assistants to accelerate requirements clarification, solution options, and technical design
  • convert outputs into reviewed artifacts (design docs, user stories, test plans).
  • perform human review for correctness, security, performance, and maintainability
  • AI-Assisted Planning & Design: Use AI assistants to accelerate requirements clarification, solution options, and technical design; convert outputs into reviewed artifacts (design docs, user stories, test plans).
  • AI-Assisted Implementation: Use AI coding assistants to draft code/queries/notebooks/pipelines; perform human review for correctness, security, performance, and maintainability; follow IP/licensing and data-use policies.
  • AI-Teaming & Refinement: Iteratively refine solutions using prompt engineering, grounding/source practices, and evaluation rubrics; document prompts, assumptions, and decisions for repeatability.
  • Question, validate, and perform quality assurance of the data for integrity and consistency to support ongoing data quality assessment and improvement initiatives.
  • Document access and use requirements for advanced analytics data/ reporting products and support the definition of report template and specifications.

Requirements

  • Master's degree in Mathematics, Computer Science, Statistics, or other related field
  • 5+ years of experience in data science, data management and/or applying data analysis and reporting skills in a business context
  • Expertise in programming languages to facilitate analysis ( e.g. R, Python or MATLAB)
  • Expertise with SQL /PLSQL, Relational and NoSQL databases, and Structured and Unstructured data
  • Analytical background and research experience with large volume s of person al data
  • Ability to translate statistical analysis into a written and verbal presentation for non -data science audience.
  • Demonstrated proficiency using AI assistants across planning, design, implementation, and documentation (e.g., IDE/code assistants such as GitHub Copilot or Claude Code
  • Demonstrated experience providing QA oversight for analytics/ML deliverables (defining acceptance criteria, designing validation approaches, partnering with engineering/QA on test automation and release readiness).
  • Demonstrate ability to communicate complex analytic results in a clear and concise fashion to sponsors/clients at all levels, and to audiences of all sizes.
  • Basic Requirements:
  • or equivalent experience
  • 5 years of experience with large healthcare transactional datasets/reporting
  • 5 years of experience in healthcare transaction data, including QA, testing and reporting
  • Experience in s tatistical modeling using healthcare data
  • Experience developing training material and delivering training to user groups of 10 or more
  • Knowledge of privacy laws and regulations around health data (HIP A A)

Nice to have

  • PhD degree in a quantitative field (e.g., Data Science, Statistics ) or MBA
  • Expertise in statistical analysis and rigor, statistical software ( e.g., R, SPSS, or SAS )
  • Familiarity with responsible AI practices (privacy, security, data handling, model risk considerations, and controls for AI-generated code/content) in regulated environments.
  • Project management experience
  • Google Cloud environment expertise
  • Experience with MLOps frameworks such as GCP, DataBricks, or SnowFlake
  • This model allows employees to work virtually while still utilizing our offices as collaboration centers.
  • With alignment and agreement from your leadership, you can come and go from the office as needed.

Skills

  • Stay abreast of industry trends, emerging technologies, and best practices in data science.

Compensation

  • We offer opportunities for employee development, as well as competitive compensation packages and extensive benefits.

Benefits

  • To learn more, review the Keep You and Yours Healthy, Balancing Work and Life, and Where Talent Takes Shape links under the Better Benefits.
  • Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care.
  • partner with engineering/QA on regression coverage and release readiness.
  • Continuous Learning: Stay abreast of industry trends, emerging technologies, and best practices in data science.

Equal opportunity

  • Additionally, this job requires certain mental demands, including the ability to use judgement, withstand moderate amounts of stress and maintain attention to detail with, or without, a reasonable accommodation.
  • Surescripts is proud to be an Equal Employment Opportunity and Affirmative Action employer.

Visa & Work Authorization

  • To be considered for employment, applicants must have a valid U.S. work authorization allowing work without restrictions with Surecripts in the U.S. At this time, we are unable to provide support or provide sponsorship for immigration benef
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This listing is sourced directly from Surescripts's careers page and normalized into a canonical job model.