Staff Data Scientist Remote, USA

Omada Health, Inc.; California (MO); Remote; USD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a passionate Staff Data Scientist to join their innovative Applied Data Science team. In this pivotal role, you will harness your expertise in machine learning to design, develop, and deploy advanced models that enhance health engagement platforms. Collaborating with a diverse team, you will translate complex data insights into actionable strategies, driving significant improvements in health outcomes. This role offers the chance to make a real impact in the healthcare sector by leveraging your analytical skills and collaborative spirit. If you're ready to take on challenging problems and contribute to meaningful advancements in health, this opportunity is for you.

Qualifications

• 5+ years of experience in data science with a focus on machine learning.
• Proficiency in Python and experience with various data science algorithms.

Responsibilities

• Implement and optimize data science algorithms for healthcare.
• Lead the deployment of machine learning models into production.

Skills

Machine Learning

Python

Data Science Algorithms

Collaboration

Analytical Skills

Education

Bachelor’s degree in Computer Science

Advanced degree (preferred)

Tools

AWS Sagemaker

Azure ML

Job description

Omada Health is on a transformative mission to empower individuals to engage in their lifelong health journey, one step at a time. 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.

Job Overview:

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.

Key Responsibilities:

1. 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.
2. 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.
3. 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.
4. 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.

About You:

1. 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.
2. 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.
3. 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.
4. Continuous Learning: A strong commitment to continual skill enhancement, staying abreast of the latest advances in the data science field.

About Omada Health: Omada Health is a between-visit healthcare provider that addresses lifestyle and behavior change elements for individuals managing chronic conditions. Omada’s multi-condition platform treats diabetes, hypertension, prediabetes, musculoskeletal, and GLP-1 management. With insights from connected devices and AI-supported tools, Omada care teams deliver care that is rooted in evidence and unique to every member, unlocking results at scale. With more than a decade of experience and data, and 29 peer-reviewed publications showcasing clinical and economic proof points, Omada’s approach is designed to improve health outcomes and contain costs. Our customers include health plans, pharmacy benefit managers, health systems, and employers ranging from small businesses to Fortune 500s. At Omada, we aim to inspire and empower people to make lasting health changes on their own terms.