Data Science Leader

3 days ago

Minneapolis, Minnesota, United States Surescripts Full time
About the Role:

In this pivotal position, you will lead data science efforts across various business functions at Surescripts, collaborating with cross-functional teams to drive strategic decision-making.

As a Data Science Leader - Healthcare Analytics, you will play a key role in developing and implementing data-driven solutions, analyzing complex data sets, and deriving actionable insights.

Key Responsibilities:
  • Data Exploration: Prioritize dataset selection for business use cases and corporate initiatives. Explore and preprocess data from various sources, ensuring data quality and integrity.
  • Advanced Analytics: Apply statistical and machine learning techniques to collect and analyze large datasets, identifying patterns and developing predictive models.
  • Model Development: Design, build, and validate predictive models to solve business problems, providing team leadership to ensure provenance and traceability in MLOps development cycles.
  • Data Visualization: Drive conceptualization of visualization dashboards and other data visualization 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.
  • Mentorship: Collaborate to develop overall mentorship program for data science and advanced analytics, providing guidance and mentorship to other data scientists, analysts, and engineers within the team.
  • Continuous Learning: Stay abreast of industry trends, emerging technologies, and best practices in data science, setting strategic direction for data scientists' professional development.
  • Evangelism: Evangelize within the company the capabilities and opportunities that data science and advanced analytics empower towards corporate goals, disseminating key information from industry, conferences, and academic venues.
Requirements:

To be successful in this role, you will need:

  • A 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.
  • Expertise in programming languages to facilitate analysis (e.g., R, Python, or MATLAB).
  • Experience in developing training material and delivering training to user groups of 10 or more.
  • Extensive analytics and research experience with large volumes of personal data.
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, and team leadership and mentoring experience are desired but not required.

About Surescripts:

Surescripts is a midsize company that values flexibility through its Flexible Hybrid Work model for most positions, allowing employees to work virtually while utilizing offices as collaboration centers.

We strive to create an environment where you can be yourself, share your ideas, and work your way, offering opportunities for employee development, competitive compensation packages, and extensive benefits.

The base pay range for this position is $183,700 - $224,500 per year, depending on qualifications, skills, experience, and location.

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