Data Science Manager

About the role

HCA Healthcare is seeking a dedicated Data Science Manager to join their team. This role is remote-friendly and involves leading, researching, strategizing, designing, implementing, documenting, and evangelizing Data Science products.

Responsibilities

• Lead, research, strategize, design, implement, document and evangelize Data Science products from incubation to deployment to monitoring.
• Responsible for team level OKRs related to product modules and agile delivery.
• Facilitate the delivery of enterprise wide, production grade, and accurate data science products by establishing and standardizing tooling and process frameworks for best practices that produce maintainable code, automated testing, and CI/CD.
• Enable good developer experience in code-centric and low-code environments.
• Provide technical code review for delivery work; ensure adherence to Responsible AI framework, ensure model interpretability, explainability, and model KPIs (both functional and non-functional).
• Manage, mentor, and coordinate the team of data scientists, product managers, analysts, and vendors/contractors to meet project goals and expectations.
• Facilitate the team to master full stack technical capabilities. Deep dive with Data Scientists on the design and performance of AI services. Explain data science approach and results to Business and IT stakeholders in understandable terms.
• Actively participate in the development of the company's data science strategy and roadmap, working closely with senior leadership.
• Stay up-to-date with healthcare industry trends and AI technologies, bringing new ideas and best practices to CT&I.
• Communicate with senior management and stakeholders to ensure alignment of goals and priorities through an unrelenting focus on end users. Develop and track data product OKRs for measurable value creation for the enterprise.

Requirements

• Bachelor’s Degree in Computer Science or related field
• 4+ years of overall experience in various aspects of data science and machine learning with demonstrated progressive responsibilities; particularly in Predictive Modeling, Optimization and/or Operations Research
• Expert experience in SQL and Python
• Experience with structured and unstructured data (ie. tabular, text, images, video, etc)
• Experience with SQL relational and non-relational databases
• Experience with data processing and ETL tools (e.g Apache Spark)
• Experience with data visualization and data monitoring tools
• Experience with Infrastructure as Code (IAC) such as Terraform, Github Actions, and Docker
• Experience with cloud deployments in GCP or another cloud platform
• Experience with Agile development methods and tools (e.g. Azure Dev Ops)
• Excellent communication and collaboration skills, with the ability to work effectively across multiple teams and stakeholders
• Strong leadership skills with a proven track record of motivating, mentoring, and managing multidisciplinary data science and engineering teams
• Ability to tell a story using data and insights that drives action and change
• Demonstrated leadership in a fast-paced environment with decisiveness, consensus-building, empathy and kindness

Preferred Requirements

• Masters/PhD Degree in Computer Science or related field
• Healthcare domain knowledge and experience
• Strong project management skills with the ability to manage multiple projects simultaneously
• Agile Delivery, Product Management or Scrum Master certifications
• Experience managing and unblocking teams in GCP platform