Staff Machine Learning Data Scientist - Women's Health
Oura182,000 - 228,000 USD/year
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
HealthcareIndustries
Requirements
Candidates should possess a Bachelor’s degree in Computer Science, Statistics, Mathematics, Physics, or a related field, with advanced degrees preferred. They must demonstrate at least 5 years of relevant experience and proficiency in Python, with R experience being a plus. Strong expertise in deploying machine learning models to production is required, along with a broad understanding 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.
Responsibilities
The Staff Data Scientist will utilize a diverse set of algorithms to solve intricate problems, leading efforts in designing, developing, and deploying advanced machine learning models to improve health engagement platforms and produce significant outcomes. They will collaborate with colleagues from various backgrounds to convert complex data insights into actionable strategies, drive improvements, and support Omada Health’s objectives. The role also encompasses showcasing a track record of deploying machine learning models into production, ensuring scalability, reliability, and seamless integration with systems, and demonstrating the business impact of their models by quantifying improvements and measurable outcomes.
Skills
Data Science Algorithms
Linear Regression
Logistic Regression
Decision Trees
Naive Bayes
Random Forest
Support Vector Machines
K-Means
K-Nearest Neighbors
Dimensionality Reduction
Machine Learning Deployment
Python
R
Omada Health
Virtual care for chronic condition management
About Omada Health
Omada Health provides virtual care programs aimed at helping individuals with chronic conditions improve their health over the long term. Their approach combines clinical protocols with behavioral science to create personalized interventions for issues like diabetes prevention, weight management, hypertension, and musculoskeletal problems. The programs are evidence-based and have shown positive results in peer-reviewed studies. What sets Omada apart from competitors is their focus on creating engaging programs that encourage participants to stick with them, leading to reduced healthcare costs and improved health outcomes. The goal of Omada Health is to leverage technology and human care teams to support members in achieving lasting health behavior changes.
Key Metrics
San Francisco, CaliforniaHeadquarters
2011Year Founded
$436.3MTotal Funding
DEBTCompany Stage
HealthcareIndustries
501-1,000Employees