Principal Data Scientist, Machinify

Salary not provided

+ Equity

Expert level
Remote in US
San Francisco Bay Area
Machinify

AI & data-driven healthcare cost reduction platform

Open for applications

Machinify

AI & data-driven healthcare cost reduction platform

101-200 employees

HealthcareB2BArtificial IntelligenceBig dataDeep TechAnalyticsMachine LearningSaaS

Open for applications

Salary not provided

+ Equity

Expert level
Remote in US
San Francisco Bay Area

101-200 employees

HealthcareB2BArtificial IntelligenceBig dataDeep TechAnalyticsMachine LearningSaaS

Company mission

To develop software that helps people get the right medical care, at the right time, at the right price.

Role

Who you are

  • Requires a deep technical background, strong leadership skills, and the ability to innovate & build in a fast-paced environment
  • 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 the job involves

  • We are seeking a Techlead | Data Science / ML. This role will be responsible for technical leadership as well as hands-on contribution to the data science team at Machinify
  • 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

Our take

Founded in 2016, Machinify's original aims were to help re-tool business operations across industries, transform data into decisions, and enable established enterprises to keep up with the rapidly digitizing space. Nowadays, the company has pivoted to employ its AI expertise specifically in the healthcare industry, where it has already found success with Payers and secured several market-leader customers.

Healthcare is one of many industries where companies have vast pools of data but struggle to make the most of it due to operational restraints in deploying AI systems. Machinify makes it easier for Payers to implement AI-powered decision-making, applying it to the authorization of treatments, review of medical claims and bills, and diagnosis of underlying conditions.

The company's choice to focus on healthcare comes alongside a more pinpointed mission to help tackle overpayment and supply more affordable healthcare to a broader scope of patients, which is definitely commendable. With intelligent applications such as those Machinify provides seeing broader adoption in the market, the company will likely see more funding and growth in the coming years.

Steph headshot

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

Few candidates hear
back within 2 weeks

9% employee growth in 12 months

Company

Funding (last 2 of 3 rounds)

Oct 2018

$10m

SERIES A

Mar 2016

$2.8m

SEED

Total funding: $15.6m

Company benefits

  • Work from anywhere in the US
  • Home office stipend
  • Work on big projects that impact millions of lives
  • Premium medical, dental & vision benefits
  • 401k plan sponsorship
  • No-meeting day every week
  • Individual Equity and Tax Advisory services
  • Flexible PTO
  • Home office stipend
  • Mentorship from industry leaders
  • Annual learning and development stipend

Company values

  • Live by customer impact: We learn to see the world through our customers' eyes. We move with speed to solve their problems. We measure our success by the value delivered to them
  • Think big: We set ambitious goals and look beyond the superficial. We hire the best and hold ourselves to the highest standards
  • Own it: We take charge of problems and don't let go until they are solved. We have a bias for action and value black pen work over armchair criticism
  • Stay curious: We question everything and chase down answers. We push beyond our areas of expertise. We seek out criticism and are open to new ideas
  • One team: We work cross-functionally and avoid silos. We are honest and unafraid to dissent. We share information openly and put collective success before individual wins

Company HQ

University South, Palo Alto, CA

Leadership

Prasanna Ganesan

(Co-Founder & CEO)

Previously co-founded VUDU where they served as the CTO and General Manager. They also served as the CTO at Klip before founding Machinify.

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

Submit your salary to help other candidates with crowdsourced salary estimates.

Share this job

View 8 more jobs at Machinify