Staff Data Scientist, Omada Health

$193.6-253k

+ Annual cash bonus & Stock options. Salary applicable to California, New York State, Washington State & Colorado only and varies depending on location of applicant

AWS

Python

Azure

Sagemaker

Senior and Expert level

Remote from US

A digital-first chronic care provider

Open for applications

A digital-first chronic care provider

501-1000 employees

HealthcareB2BPersonal healthData Analysis

Open for applications

$193.6-253k

+ Annual cash bonus & Stock options. Salary applicable to California, New York State, Washington State & Colorado only and varies depending on location of applicant

AWS

Python

Azure

Sagemaker

Senior and Expert level

Remote from US

501-1000 employees

HealthcareB2BPersonal healthData Analysis

Company mission

To inspire lasting health changes that change lives.

Job

Company

Role

Who you are

We seek a highly skilled Staff Data Scientist who brings a deep passion for analytics and a proven knack for driving health advancements through data science
Experience: At least 5 years of relevant experience, backed by a Bachelor’s degree in Computer Science, Statistics, Mathematics, Physics, or a related field. Advanced degrees are preferred
Skills: Demonstrable experience with a wide array of data science algorithms and their real-world problem-solving applications. Deep expertise in deploying machine learning models to production. Proficiency in Python is required; R experience is a plus
Collaboration: Exceptional collaborative skills, with the ability to adapt quickly to project evolutions and distill complex data insights into understandable, actionable information. You relish teaching and learning from your peers. You can communicate complex concepts to both technical and non-technical audiences
Continuous Learning: A strong commitment to continual skill enhancement, staying abreast of the latest advances in the data science field

What the job involves

As an integral member of our Applied Data Science team, the Staff Data Scientist will employ a diverse set of algorithms to solve intricate problems. You'll lead efforts in designing, developing, and deploying advanced machine learning models to improve our health engagement platforms and produce significant outcomes aligned with our mission
You will collaborate with colleagues from a diversity of quantitative, engineering, product, operational, and clinical backgrounds to do your best work
Algorithm Implementation and Optimization: Utilize a broad spectrum of data science algorithms, such as Linear Regression, Logistic Regression, Decision Trees, Naive Bayes, Random Forest, Support Vector Machines, K-Means, K-Nearest Neighbors, and Dimensionality Reduction, to optimize for high performance in various healthcare scenarios
Production Deployment: Showcase a track record of deploying machine learning models into production. Lead the end-to-end deployment process, ensuring scalability, reliability, and seamless integration with our systems, leveraging cloud platforms like AWS Sagemaker or Azure ML
Business Impact Analytics: Surpass theoretical data science by demonstrating and quantifying the business impact of your models. Articulate how your work has driven improvements, decision-making, and measurable outcomes in prior roles
Cross-functional Collaboration: Work within an Agile framework to foster an environment of rapid iteration and collaboration. Engage with teams across the organization to convert complex data insights into actionable strategies that support Omada Health’s objectives. Work with product teams to turn ambiguous ideas into practical solutions that deliver impact to users

Our take

Health tracking apps help people to analyze their health data and provide passive notifications and reminders based on their activities. However, these notifications are easy to ignore, and do not have any form of medical authority.

Omada Health offers various virtual health programs that cover areas such as diabetes, weight management and hypertension. As opposed to receiving notifications based on their health, Omada shares real-time health data with both patients and healthcare professionals to increase commitment levels to health tracking apps.

The startup claims that this human-interaction from healthcare professionals within a health tracking framework increases the likelihood of a positive outcome by 250%. Omada currently uses more than a billion data points recorded from 550,000 patients, aiming to use this data to broaden strategies within medical communities.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

9% employee growth in 12 months

Glassdoor (3.9)

Company

Funding (last 2 of 9 rounds)

Feb 2022

$192m

SERIES E

May 2020

$57m

LATE VC

Total funding: $448.6m

Company benefits

Remote first
Flexible vacation
Wellness days
Parental leave
Omada program
Resources to thrive
Meeting-free days

Company HQ

Financial District, San Francisco, CA

Leadership

Adrian James

(Member of the Board of Directors & Co-founder)

Studied Mechanical Engineering at Stanford. Was a Mechanical Engineer with Risse Racing, Edge Innovations, and Plantas Eolicas. Worked at IDEO for over 9 years, leaving as Domain Lead. Is a Board Member of Moving Analytics.

Sean Duffy

(Co-founder & CEO)

Studied Neuroscience at Columbia, and MBA in Healthcare from Harvard. Was a Nurse Assistant at Straub Hospital. Worked at Google for 2 years in People Analytics. Was a Health & Wellness Domain Specialist at IDEO. Editor of Medgadget for 4 years. Current Founder of Excel Everest.

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