Staff Data Scientist

Summary

Join Omada Health as a Staff Data Scientist and leverage your data science expertise to improve our health engagement platforms. You will design, develop, and deploy machine learning models, collaborating with cross-functional teams. Responsibilities include algorithm implementation and optimization, production deployment, and demonstrating the business impact of your models. The ideal candidate possesses at least 5 years of relevant experience, a Bachelor's degree in a related field (advanced degrees preferred), and proficiency in Python. Excellent collaboration and communication skills are essential. Omada offers a competitive salary, generous bonus, stock options, remote work, flexible vacation, generous parental leave, comprehensive health insurance, a 401k plan, and other benefits.

Requirements

• Experience: At least 5 years of relevant experience, backed by a Bachelor’s degree in Computer Science, Statistics, Mathematics, Physics, or a related field
• 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

Responsibilities

• 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

Preferred Qualifications

Advanced degrees are preferred

Benefits

• Competitive salary with generous annual cash bonus
• Stock options
• Remote first work from home culture
• Flexible vacation to help you rest, recharge, and connect with loved ones
• Generous parental leave
• Health, dental, and vision insurance (and above market employer contributions)
• 401k retirement savings plan
• Two giftable Omada enrollments per calendar year
• Lifestyle Spending Account (LSA)
• Mental Health Support Solutions