Data Science Strategist for Advanced Analytics

3 weeks ago

Minneapolis, Minnesota, United States Surescripts Full time

Surescripts drives innovation through data-driven solutions, enhancing patient safety and quality care. We deliver insights at critical points of care to inform better decisions.

Job Overview:

The Data Science Strategist for Advanced Analytics will lead cross-functional teams in developing and implementing data-driven solutions across various business functions. This role requires expertise in analyzing complex data sets, deriving actionable insights, and driving strategic decision-making.

The incumbent will be responsible for designing, delivering, and optimizing powerful insights with a focus on advanced analytics and AI. Leadership skills are essential for selecting appropriate machine learning and AI techniques and mentoring data scientists.

This role involves managing multiple complex projects simultaneously, ensuring alignment with company priorities and resource allocation. The Data Science Strategist will advise on staffing for projects, balancing data scientist resources across internal and external initiatives.

Key Responsibilities:
  • Data Exploration: Prioritize dataset selection for business use cases, explore and preprocess data from various sources, measuring and ensuring data quality and integrity. Enrich data with external sources to enhance suitability for monetization or AI/ML.
  • Advanced Analytics: Apply statistical and machine learning techniques to collect and analyze large datasets, identifying patterns by developing predictive models and deep learning algorithms using tools like TensorFlow and PyTorch. Leverage model farms and AI repositories for innovative data processing pipelines.
  • Model Development: Design, build, and validate predictive models to solve business problems. Ensure provenance and traceability in MLOps development cycles. Investigate state-of-the-art and emerging AI/ML technologies for company use cases and process improvements.
  • Data Visualization: Conceptualize visualization dashboards to convey data value and insights effectively. Collaborate with stakeholders to optimize decision making.
  • 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.
  • Mentorship: Develop mentorship programs for data science and advanced analytics. Provide guidance and mentorship to other data scientists, analysts, and engineers within the team.
  • Continuous Learning: Stay abreast of industry trends and best practices in data science. Set strategic direction for data scientists' professional development.
  • Evangelism: Evangelize data science and advanced analytics capabilities within the company, disseminating key information from industry conferences and academic venues.
Qualifications:

We're seeking a highly skilled and experienced data scientist with a Master's degree in Mathematics, Computer Science, Statistics, or related field. 8+ years of experience in data science, data management, and applying data analysis and reporting skills in a business context is required. Experience with large transactional healthcare datasets and programming languages like R, Python, or MATLAB is essential.

We offer competitive compensation packages and benefits, including comprehensive healthcare, generous paid time off, pet insurance, and a 401(k) with company match and immediate vesting. Our base pay range for this position is $183,700 - $224,500 per year. Benefits include comprehensive healthcare, paid time off, pet insurance, and 401(k) with company match and immediate vesting.

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