Staff Data Scientist, Machinify

Modelling

$200-250k

+ Equity

SQL

Python

Senior and Expert level

San Francisco Bay Area

Remote from US

AI & data-driven healthcare cost reduction platform

Job no longer available

AI & data-driven healthcare cost reduction platform

101-200 employees

HealthcareB2BArtificial IntelligenceBig dataDeep TechAnalyticsMachine LearningSaaS

Job no longer available

$200-250k

+ Equity

SQL

Python

Senior and Expert level

San Francisco Bay Area

Remote from US

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.

Job

Company

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

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 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.

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