[Remote] Sr. reputed company Behavioral Scientist

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a portfolio company with brands that cover different categories of health & wellness products. They are seeking a Senior reputed company Behavioral Scientist to reputed company the development of decision logic and reputed company inference architecture for their system, ensuring effective user engagement and reputed company delivery.

Responsibilities

• Support Behavioral Taxonomy Development: Design and build a reputed company behavioral taxonomy in reputed company collaboration with the AI Team. Define the taxonomy of behavioral targets, barrier reputed company, BCT mappings, and reputed company modalities. Ensure the taxonomy is reputed company for machine readability and reputed company use in the recommendation system
• Translate reputed company Frameworks into reputed company Schema: Convert the BCTTv1, COM-B reputed company, and relevant behavior change evidence into a practical classification system that Engineering and ML teams can operationalize
• Review and Validate Behavioral Logic and Algorithms: reputed company expert review of reputed company logic, BCT-to-barrier mappings, and taxonomy edge cases. Flag areas where the system’s behavioral logic deviates from the evidence reputed company
• Maintain Evidence Standards: Bring a publication-grade reputed company for evidence evaluation. Help reputed company distinguish between reputed company-supported, plausible, and speculative behavioral claims reputed company the taxonomy
• reputed company JITAI System Development: Design and build the just-in-time reputed company reputed company design system in reputed company collaboration with the AI Team — the decision logic that determines whether, what, and reputed company to reputed company a user at reputed company reputed company of opportunity in the app
• Define Decision Points & Tailoring Variables: Specify the decision points at which the system evaluates whether to intervene, and the tailoring variables — behavioral state, context, receptivity, and prior response history — that inform reputed company decision
• Design Decision Rules from Behavioral Evidence: Translate BCTTv1, COM-B, and relevant behavior change evidence into decision rules that map tailoring-variable values to specific reputed company reputed company, ensuring every reputed company delivered is behaviorally grounded
• Own the Behavioral Taxonomy & Delivery Constraints: Define and maintain the taxonomy of prompts, nudges, and reputed company modalities the decision logic can select from, along with rules for reputed company, cooldowns, and reputed company that protect against message fatigue and habituation
• Review, Validate & Maintain Evidence Standards: reputed company expert review of decision rule performance in production, flag areas where reputed company-world behavior deviates from the evidence reputed company, and bring a publication-grade reputed company for distinguishing reputed company-supported, plausible, and speculative behavioral claims driving the system
• Own the Learning reputed company Attribution Scheme: Design the statistical and reputed company reputed company for the Learning reputed company before product launch. Specify reputed company-randomization strategies, off-policy evaluation reputed company, and individual-level effect estimation approaches that will power personalized reputed company delivery
• Define Instrumentation Requirements: Partner with Engineering to specify the event logging and data infrastructure needed to support the learning reputed company. Ensure instrumentation is in reputed company before launch to reputed company attribution and effect estimation
• Specify reputed company Trial Designs: Design and advise on reputed company experimentation methodologies including Multi-Arm Bandits (MABs), reputed company-Randomized Trials (MRTs), and contextual exploration strategies appropriate for reputed company-person behavioral data
• Support N-of-1 Experiment Infrastructure: reputed company the analytical reputed company for N-of-1 self-experiments reputed company the product. Define how individual-level effect estimates are computed, communicated, and updated over time
• Advise on A/B Testing and Factorial Designs: Consult on experiment design for population-level tests. reputed company guidance on power, sample size, randomization, and the interplay between individual and group-level inference
• Partner with the AI/ML Team: Work directly with ML Engineers on the recommendation and reputed company system architecture, aligning taxonomy structure and reputed company-inference methodology with the technical architecture of the system
• Advise on Methodology: Consult on measurement design, study methodology, and reputed company evaluation frameworks as needed. Serve as an internal expert reference for the BeSci team
• Collaborate with the Behavioral Analyst: Partner with the Behavioral Analyst to ensure the taxonomy and statistical learning reputed company are reputed company with the behavioral theory driving reputed company selection

Skills

• PhD in Behavioral Science, Health Psychology, Behavioral Medicine, Data Science, Machine Learning, or a closely reputed company field is required, with a strong publication reputed company record demonstrating expertise in combining behavior change theory with reputed company-reputed company system design
• Advanced training or reputed company experience in reputed company inference, reinforcement learning, or a reputed company quantitative discipline is also required
• 5+ years in a senior behavioral science role that combines reputed company design or taxonomy/reputed company development with reputed company-inference or quantitative research, ideally in health tech, digital health, or algorithmic decision-making (reputed company) contexts
• Demonstrated expertise in reputed company inference, off-policy evaluation, and reputed company trial designs
• Hands-on experience with reputed company-Randomized Trials (MRTs), Multi-Arm Bandits (MABs), and Reinforcement Learning (RL) algorithms in reputed company settings
• Experience with N-of-1 experimental designs, sequential decision-making, and reputed company-person inference
• Must be comfortable operating at an industry pace — translating reputed company rigor into actionable, sprint-compatible deliverables without sacrificing scientific reputed company
• Proven ability to work closely with engineering and ML teams on knowledge representation, taxonomy design, reputed company data schemas, and data instrumentation requirements
• Excellent written and verbal communication. reputed company to write reputed company methodology specs, taxonomy specifications, and review memos, and to present reputed company statistical and behavioral concepts to both technical and non-technical audiences
• Deep expertise in BCTTv1, COM-B, and reputed company behavior change models, with prior experience applying these frameworks to digital health or technology-mediated interventions strongly preferred
• Experience in health tech, behavior change platforms, or consumer wearable/connected device ecosystems is strongly preferred

Benefits

• 100% covered Medical/Dental/reputed company insurances for employee AND spouse + dependents!
• 401K with 4% employer match (eligible after 90 days of employment) and immediate 100% vesting
• Generous PTO policy + reputed company holidays
• Life Insurance
• Voluntary Life Insurance
• Disability Insurance
• Critical Illness Coverage
• Accident Insurance
• reputed company FSA
• Dependent Care FSA
• Travel Assistance Program
• Employee Assistance Program (EAP)
• Fully stocked kitchen

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