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Machinify

Director | Data Science

Reposted 2 Days Ago
In-Office or Remote
2 Locations
200K-200K
Senior level
In-Office or Remote
2 Locations
200K-200K
Senior level
The Director of Data Science leads the data science team, driving innovation, managing projects, and collaborating with leadership to enhance healthcare claims processing.
The summary above was generated by AI

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 Director of Data Science. This role will be responsible for the overall leadership and management of the data science team at Machinify, and requires a deep technical background, strong leadership skills, and the ability to drive innovation and excellence in a fast-paced environment. Reporting to the Chief Data Scientist, the Director of Data Science will collaborate closely with other leaders to align engineering efforts with the company's strategic goals.  

What you will do:

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

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

  • Translate objectives into internal team priorities and assignments

  • Drive sprints and work with cross-functional stakeholders to appropriately prioritize various initiatives to improve customer metrics

  • Hire, mentor and develop team members

  • Foster a culture of innovation, collaboration, and continuous improvement

  • Communicate technical concepts and strategies to technical and non-technical stakeholders effectively

  • Own the success of various models on the field by continuously monitoring KPI’s and initiating projects to improve quality.  

What you bring:

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

  • 10+ years of data science experience, with at least 5 years in a leadership role, including a leadership role at a start-up. Proven track record of managing data teams and delivering complex, high-impact products from concept to deployment

  • Strong 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

  • Ability to communicate effectively, collaborating with diverse groups to solve complex problems

  • You embrace challenges with optimism and a balanced, and bring a business-oriented approach to product development

  • You prioritize customer impact, ensuring your work significantly advances our product value

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. 

See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/

Top Skills

AI
Data Science
Machine Learning

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