Principal Data Scientist

Machinify; Palo Alto (CA); Remote; USD 150,000 - 210,000; Full time

Job summary

A leading company in AI-powered software is seeking a Principal Data Scientist to provide technical leadership and hands-on contributions within their data science team. The role focuses on transforming healthcare claims processes, requiring a mix of leadership experience, deep technical knowledge, and a strategic mindset. An exciting remote opportunity comes with competitive salary and extensive benefits.

Benefits

Flexible work environment

Work from anywhere in the US

Comprehensive medical, vision, and dental benefits

Competitive salary and equity

401(k) sponsorship

Qualifications

• Deep, highly technical data science experience.
• Several years in a leadership role.
• Startup experience is a big plus.

Responsibilities

• Provide high-level technical direction & guidance to data scientists.
• Execute hands-on as a senior team member supporting the 'Pay' product.
• Measure the effect of policy changes on healthcare payments.

Skills

Technical leadership

Data science

Problem-solving

Team management

Strategic thinking

Education

Degree in Computer Science, Engineering, or related field

Job description

Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.

We are seeking a Principal Data Scientist. This role will be responsible for technical leadership as well as hands-on contribution to the data science team at Machinify. Our platforms already leverage cutting-edge NLP and traditional ML to help clinicians make complex decisions, but the real challenge lies ahead; moving from "AI Assistant" to human-caliber interpretation of both claim data and medical records.

What you will do:

• Provide high level technical direction & guidance to a team of Senior and Staff Data Scientists, enabling them to do their best work

• Execute hands-on as a senior member of the team supporting our "Pay" product

• Develop code to execute payment policies as automated software. Contribute to improving the software architecture.

• Measure the effect of policy changes on healthcare payments. Use data to identify areas for policy improvement. Report

• Collaborate with the leadership team to define key technical and business metrics and objectives

What you bring:

• Degree in Computer Science, Engineering, or a related field

• Deep, highly technical data science experience

• Several years in a leadership role

• Startup experience is a big plus

• Proven track record of managing data teams and delivering complex, high-impact products from concept to deployment

• Intimate knowledge of data privacy regulations and best practices in data security

• Exceptional team management abilities, with experience in building and leading high-performing teams

• Ability to think strategically and execute methodically

• Ability to drive change and inspire a distributed team

• Strong problem-solving skills and a data-driven mindset
  

What we offer:

• A flexible and trusting environment where you'll feel empowered to do your best work.

• Work from anywhere in the US! Our team is distributed and most of us work from home.

• Hardworking and supportive colleagues, and a leadership team that understands the importance of recruiting and retaining top talent.

• Incredible medical, vision, and dental benefits for employees & their families.

• Competitive salary and equity, 401(k) sponsorship.

Equal Employment Opportunity at Machinify

Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.