Staff Data Scientist, Machinify
Modelling
$200-250k
+ Equity
AI & data-driven healthcare cost reduction platform
Open for applications
AI & data-driven healthcare cost reduction platform
101-200 employees
Open for applications
$200-250k
+ Equity
101-200 employees
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
- You enjoy solving real-world business problems involving data-driven optimization and ML modeling - and have been doing that successfully for a while
- You are comfortable measuring and optimizing the direct business impact of work
- You are experienced with SQL, handling large-scale data, and are comfortable with at least one programming language (Python, R, etc.)
- You have experience building ML models using modern ML approaches like Neural Nets or Tree-ensembles from scratch for new applications - making decisions relating to which supervised labels to use, the metric to optimize for, and the features likely to be useful
What the job involves
- We are looking for a Staff Data Scientist to advance our models further
- In addition to building best-in-class models, this person will create technical frameworks and tools to help the team achieve greater scale and improved business outcomes
- Master Claim Audits: Dive into various clinical and coding audits, unpacking the data that drives audit decisions, and understanding past outcomes
- Model Advancement: Curate labeled data, hypothesize new features, and develop ML models that target claims for audit with even greater precision
- Optimize Impact: Measure model performance rigorously, translating outcomes into operational insights and recommendations for our clients
- Tame Complexity: Work with vast, nuanced data pipelines derived from intricate business workflows—often unclean and undefined—to refine them for robust modeling
- Drive Team Success: Enhance data pipelines, modeling infrastructure, and team tools to level up our capabilities and decision-making efficiency
- Grow with Healthcare: Build expertise in healthcare data and make an impact on the industry. Engage with clients and internal experts to refine model insights, ensuring alignment with real business needs
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
Company Specialist at Welcome to the Jungle
Insights
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
Articles
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.
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