Data Science Manager

HCA Healthcare; United States; Remote; USD 200,000 - 350,000; Full time

Job summary

An established industry player is seeking a Data Science Manager to lead innovative projects that integrate cutting-edge AI technologies into healthcare services. In this pivotal role, you'll provide technical and organizational leadership, guiding a talented team to deliver impactful data science products. Your strategic vision will align with long-term initiatives, ensuring that solutions not only meet business requirements but also enhance user experience. If you're passionate about driving change and fostering collaboration across teams, this opportunity offers a chance to make a significant impact in the healthcare sector.

Qualifications

• 4+ years of experience in data science and machine learning.
• Expert in SQL and Python with strong leadership skills.

Responsibilities

• Lead the delivery of data science products from design to deployment.
• Manage and mentor a team of data scientists and product managers.

Skills

Data Science

Machine Learning

SQL

Python

Predictive Modeling

Agile Development

Communication Skills

Leadership

Education

Bachelor’s Degree in Computer Science

Masters/PhD Degree in Computer Science

Tools

Apache Spark

Terraform

GitHub Actions

Docker

Azure Dev Ops

Job description

At HCA Healthcare, we are committed to providing our patients and care providers with the highest quality of healthcare services. HCA’s Care Transformation and Innovation (CT&I) team delivers a step change in that direction through clinically led integration of digital and AI technologies into care.

The Manager, Data Science is a technical managerial position that provides technical and organizational leadership to deliver Data Science products. This person engages with department leadership to understand strategy to align long term data science initiatives and budgets with product roadmaps and business requirements. This person guides planning, development, and implementation of components with the Data Science team.

This role is expected to drive a positive change throughout the organization (both Business and Technology) and is expected to show empathy for the stakeholders and build products which deliver a delightful experience.

What You'll Do:

• AGILE AND VALUE BASED DELIVERY: 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.
• FRAMEWORK, TOOLING, AND BEST PRACTICES: 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.
• CODE AND DELIVERABLE QUALITY: 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)
• LEADERSHIP: 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.
• STRATEGIC LEADERSHIP: Actively participate in the development of the company's data science strategy and roadmap, working closely with senior leadership.
• DOMAIN LEADERSHIP: Stay up-to-date with healthcare industry trends and AI technologies, bringing new ideas and best practices to CT&I.
• PRODUCT DEVELOPMENT MINDSET: 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.

What qualifications you will need:

• 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

Work Location/Schedule:

• Must reside in or be willing to relocate to Nashville, TN, Orlando, FL, or Austin, TX
• WFH: M-F

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Media

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