Principal Engineer, Data Science & Machine Learning

Confidential

Seattle, Washington, United States permanent

Posted: April 16, 2026

Required Skills

Job Description

I. Solidify and scale the Leapfrog Data Science and Engineering Culture and Practice:

• Lead definition and implementation of data, data science, and machine learning competency definitions at every level, and align with recruiting initiatives.

• Manage the development lifecycle for data-centric projects using data to drive continuous improvements, with a strong focus on meeting the team's commitments given evolving business priorities and market/customer needs.

• Lead the development of data-driven solutions, products and proofs of concept to acquire new business opportunities

• Drive ongoing improvement in functional excellence and best practices (design sessions, code reviews, automation etc)

II. Lead Customer Accounts Where HIPAA Compliance Expertise is Necessary to Succeed

• Lead current and future healthcare data-intensive projects that involve significant knowledge of healthcare interoperability and HIPAA compliance expertise to succeed.

• Responsible to work with team to lead projects that require intensive retail data analytics

III. Ongoing stewardship of Leapfrog Technology's Data Capabilities Team

• Work with other engineering leadership, and under the guidance of the Senior Vice President Engineering to hire, train, and deploy data engineers, machine learning engineers and data scientists

• Meet regularly with data team members in both the US and Nepal to develop their skills and mentor them as they work on client projects

• Lead the team with trainings and mentoring to evolve the team into a high-performing team of data scientists and machine learning engineers.

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