Senior Applied Behavioral Scientist

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VeSync (US)

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏭 Manufacturing

🛒 Retail

🛍️ eCommerce

Manufacturing • Retail • eCommerce

VeSync is a consumer electronics and technology company founded in 2011, dedicated to enhancing the lives of its customers through thoughtfully engineered products that prioritize convenience, simplicity, and practicality. Operating under brands like Levoit, Cosori, and Etekcity, VeSync offers innovative small appliances and outdoor equipment, serving a diverse e-commerce customer base globally. The company emphasizes technological sophistication in its offerings and fosters a creative work environment for its teams, while also planning to expand into physical retail markets.

📋 Description

• Lead development of the just-in-time adaptive intervention design system with the AI Team • Design and maintain behavioral taxonomies, including behavioral targets, barrier profiles, BCT mappings, intervention modalities, prompts, nudges, and delivery constraints • Translate BCTTv1, COM-B, and behavior-change evidence into machine-readable schemas and operational decision rules • Review and validate behavioral logic, algorithms, decision-rule performance, and evidence quality • Design the Learning Loop’s statistical and causal framework, including attribution, micro-randomization, off-policy evaluation, and individual-level effect estimation • Define Engineering instrumentation, event logging, and data infrastructure requirements • Design adaptive experiments using Multi-Arm Bandits, Micro-Randomized Trials, and contextual exploration • Develop analytical infrastructure for N-of-1 self-experiments • Advise on A/B testing, factorial designs, power, sample size, and randomization • Partner with AI/ML Engineers on recommendation and intervention-system architecture • Advise on measurement design, study methodology, and intervention evaluation • Collaborate with the Behavioral Analyst and serve as an internal BeSci methodology expert

🎯 Requirements

• PhD in Behavioral Science, Health Psychology, Behavioral Medicine, Data Science, Machine Learning, or a closely related field is required • Advanced training or applied experience in causal inference, reinforcement learning, or a related quantitative discipline is required • Strong publication track record combining behavior-change theory with closed-loop system design • 5+ years in a senior behavioral science role combining intervention design or taxonomy/framework development with causal-inference or quantitative research • Deep expertise in BCTTv1, COM-B, and related behavior-change models • Demonstrated expertise in causal inference, off-policy evaluation, and adaptive trial designs • Hands-on experience with Micro-Randomized Trials, Multi-Arm Bandits, and Reinforcement Learning algorithms • Experience with N-of-1 experimental designs, sequential decision-making, and within-person inference • Comfort with small-n, high-frequency behavioral data • Ability to translate academic rigor into actionable, sprint-compatible deliverables • Proven ability to collaborate with engineering and ML teams on knowledge representation, taxonomy design, structured data schemas, and data instrumentation • Excellent written and verbal communication; ability to write methodology specifications, taxonomy specifications, and review memos • Health tech, behavior-change platform, or consumer wearable/connected-device experience strongly preferred

🏖️ Benefits

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