Lead Data Scientist

Job Title: Lead Data Scientist

Location: Nashville, TN(Complete Remote)

Type: Fulltime

Job Description:

Architect, design, implement, document and evangelize reusable feature stores and data products for multiple consumers.
Facilitate the delivery of enterprise wide, production grade, and accurate data products and machine learning models by establishing and standardizing process
frameworks for process and best practices.
Research, recommend, and implement tooling for agile development of feature stores and data products; including metadata management, data lineage, data
quality, data catalogs and data discoverability.
Stay up to date with the latest developments and trends in datasets marketplace, data governance, data democratization, and data products.
Develop and manage technical architectures and considerations for data products.
Provide technical code review for work in feature engineering domain.
Mentor and lead the team of onshore-offshore data engineers, data scientists, product managers, and data stewards to build and deliver high-quality data
products.
Identify new opportunities to leverage data to improve patient outcomes and reduce healthcare costs, working closely with business leaders to understand
their needs and develop customized data solutions to meet their specific requirements.
Partner with IT and compliance teams to design privacy, security, ethical, and other regulatory controls while maintaining lean DataOps practices.
Stay up-to-date with healthcare industry trends and AI technologies, bringing new ideas and best practices.
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.

Required Skills:

7+ years of overall experience in various aspects of data engineering & Science
4+ years of experience in data engineering / feature engineering
3+ years of experience in machine learning or data science
Strong expertise in data science, statistics, and data engineering
Strong programming experience in SQL and Python
Experience in modern software engineering practices.
Technical expertise in Google Cloud Platform platform (Google Big Query, Vertex AI etc)
Understanding of modern data architectures such as Lakehouse, Data Mesh, Data Fabric and Clean Rooms
Understanding of SQL and no-SQL databases
Strong leadership skills with the ability to motivate and mentor high performing teams.
Ability to tell a story using data and insights that drives action and change.
Excellent communication and collaboration skills, with the ability to work effectively across multiple teams and stakeholders
Demonstrated leadership in a fast-paced environment with decisiveness, consensus-building, empathy and kindness