Data Science Director

6 days ago

Arlington, Virginia, United States Surescripts Full time
About Surescripts

Surescripts is a mid-size company that offers a flexible hybrid work model for most positions. This allows employees to work virtually while utilizing our offices as collaboration centers.

Salary and Benefits

The base pay range for this position is $183,700 - $224,500 per year. Our comprehensive benefits package includes healthcare coverage, paid time off, pet insurance, and a 401(k) plan with company match and immediate vesting.

Job Description
  • Data Exploration: Identify high-priority datasets for business use cases and corporate initiatives. Ensure data quality and integrity by exploring and preprocessing data from various sources. Enrich data with external, auxiliary, or commercial data sets to enhance suitability for monetization or AI/ML.
  • Advanced Analytics: Apply statistical and machine learning techniques to collect and analyze large datasets and identify patterns. Develop predictive models, deep learning algorithms, and frameworks using tools like TensorFlow and PyTorch. Leverage model farms and other AI repositories for development of innovative data processing pipelines to deliver value to the business.
  • Model Development: Design, build, and validate predictive models to solve business problems. Provide team leadership to ensure provenance and traceability in MLOps development cycles. Investigate state-of-the-art and emerging AI/ML technologies for suitability to company use cases and process improvements.
  • Data Visualization: Drive conceptualization of visualization dashboards and other data visualization to be implemented by data science teams to optimally convey data value and insights and enhance decision making for stakeholders.
  • Collaboration: Lead collaboration with business leaders, product managers, data scientists, and engineers to translate business requirements into analytical solutions. Communicate capabilities and limitations of data science, AI, and machine learning to stakeholders to assist with project expectations, management, scope, and staffing.
Requirements
  • Basic Requirements:
    • Master's degree in Mathematics, Computer Science, Statistics, or other related field; or equivalent experience
    • 8+ years of experience in data science, data management and/or applying data analysis and reporting skills in a business context
    • 8+ years of experience with large transactional healthcare datasets/reporting
    • 8+ years of experience in healthcare transaction data, including QA, testing and reporting
    • 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
    • Extensive analytics and research experience with large volumes of personal data
    • Ability to translate statistical analysis into a written and verbal presentation for non-data science audience.
    • Extensive Health IT industry knowledge
    • Statistical modeling using healthcare data.
    • Experience and developing training material and delivering training to user groups of 10 or more
    • Expertise in statistical analysis and rigor, statistical software (e.g., R, SPSS, or SAS)
    • Experience with large language models or natural language processing.
    • Project management experience
    • Knowledge of privacy laws and regulations around health data (HIPAA)
    • Experience developing in data science workbench environments (JupyterLab or others) and migrating data science projects to production systems (MLOps)
    • Knowledge of data governance, privacy practices, compliance
  • Preferred Qualifications:
    • PhD degree in a quantitative field (e.g., Data Science, Statistics) or MBA
    • Google Cloud environment expertise
    • Experience with MLOps frameworks such as GCP Vertex AI, DataBricks, or Snowflake
    • Team leadership and mentoring experience

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