Principal Applied Machine Learning Scientist

Segment (Twilio); United States; Remote; USD 235,200 - 338,100; Full time

Benefits offered by this job

Equity grants

Remote first work‑from‑home culture

Flexible time off to rest and recharge

Generous parental leave

Health, dental, and vision insurance

401(k) retirement savings plan

Lifestyle spending account

Mental health support solutions

Job summary

Omada Health is seeking a Principal Applied ML Scientist to lead high‑impact research and development of health trajectory models and next‑best‑action algorithms in a remote US setting. This role translates longitudinal healthcare data into deployable software and guides cross‑functional teams across product, engineering, and clinical stakeholders.

The position requires a PhD (or equivalent) and deep expertise in time‑series, reinforcement learning, and causal inference, with production cloud

Qualifications

• PhD in Computer Science, Statistics, Machine Learning, Biostatistics, Applied Mathematics or a related field (or Master + substantial related senior experience).
• Strong publication-quality rigor and cross-functional collaboration with product, engineering, and clinical teams.
• Experience deploying ML models to production on cloud platforms such as AWS SageMaker or equivalent.

Responsibilities

• Lead health trajectory research and development of models predicting future member states and risks.
• Design next-best-action algorithms translating trajectories into interventions.
• Mentor scientists in temporal modeling, reinforcement learning, and causal inference; ensure production readiness.

Skills

Time-series modeling

Longitudinal modeling

Reinforcement learning

Causal inference

Production ML systems

Communication with stakeholders

Education

PhD in a quantitative field

Tools

Python

ML tooling

AWS SageMaker

Job description

Principal Applied Machine Learning Scientist

Remote, USA

Omada Health is on a mission to bend the curve of chronic disease.

Job overview

Omada Health is looking for a Principal Applied ML Scientist to lead high‑impact research and applied algorithm development focused on predicting where a member is headed next and identifying the intervention most likely to improve outcomes at a specific moment. The role sits at the intersection of machine learning research, causal decisioning, and healthcare product impact, translating longitudinal member data into clinically meaningful and operationally deployable algorithms. This position requires deep technical leadership, strong publication‑quality rigor, and the ability to work cross‑functionally with product, engineering, and clinical stakeholders.

Your Impact

Health Trajectory Research

• Lead research and development of individual‑ and population‑level health trajectory models that predict future member states, risks, and likely progression paths using messy, real‑world longitudinal healthcare data.
• Produce high‑quality experimental evidence and technical recommendations that can lead to tangible product features and have a real impact on individual and population health trajectories.

Next Best Action Algorithms

• Lead the design of next‑best‑action algorithms that convert predicted trajectories into intervention decisions tailored to a member’s current context and likely future path.
• Research and apply advanced decision and recommendation policies to safely optimize intervention choice in a healthcare environment.
• Define objective functions, reward signals, and policy constraints that balance engagement, clinical effectiveness, fairness, and operational feasibility, partnering with product and clinical teams to ensure outputs are actionable and interpretable.

Technical Leadership

• Serve as the senior scientific lead for algorithmic and evaluation rigor in trajectories and next‑best‑action, setting standards for problem formulation, evaluation, and publication‑quality analysis.
• Mentor other scientists and data scientists on advanced methods in temporal modeling, reinforcement learning, and causal inference.
• Collaborate closely with platform, MLOps, and product engineering teams to ensure research outputs can be productionized reliably and monitored appropriately.

About you

• Ph.D. in Computer Science, Statistics, Machine Learning, Biostatistics, Applied Mathematics or a related quantitative field is required, will consider a Master’s with substantial, directly related experience at a senior level.
• Multiple years of post‑secondary education experience in machine learning research or applied research science, with a strong record of delivering novel algorithms or high‑impact ML systems in production.
• Deep expertise in time‑series or longitudinal modeling, healthcare prediction, recommender systems, reinforcement learning, causal inference, or adjacent research areas relevant to trajectories and next‑best‑action decisioning.
• Strong proficiency in Python and modern ML tooling, along with experience deploying models into production environments on cloud platforms such as AWS SageMaker or equivalent.
• Demonstrated ability to translate ambiguous business questions into well‑scoped technical problems, communicate trade‑offs clearly to non‑technical stakeholders, and incorporate feedback into model and metric design.

Salary ranges by geographic zone

Zone 1: $270,480 - $338,100

Zone 2: $258,720 - $323,400

Zone 3: $235,200 - $294,000

Please note that zones may be updated as market data changes but we will honor the range applicable to your zone (which is determined by your location) as of your application date.

Benefits and perks

• Equity grants
• Remote first work‑from‑home culture
• Flexible time off to help you rest, recharge, and connect with loved ones
• Generous parental leave
• Health, dental, and vision insurance (and above‑market employer contributions)
• 401(k) retirement savings plan
• Lifestyle spending account (LSA)
• Mental health support solutions

Equal Opportunity Statement

We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws.