Proper is a proud Equal Opportunity Employer – we recruit, train, compensate and promote our team members based on qualifications. We know how important it is not only to include, but to actively seek out a diversity of opinions and voices.

We want to hear from you regardless of your race, religion, national origin, sex, gender identity, sexual orientation, disability, age, veteran status, or any other applicable legally protected characteristics. 

About Proper

Proper is on a mission to improve people’s overall health and happiness by being the trusted expert that brings an integrative and holistic approach to sleep wellness. Our vision is to build a modern sleep wellness business grounded in truth and supported by the best in data, technology, and science. 

About the Role

We are looking for a hands-on sleep data researcher / scientist to advance Proper’s use of sleep and behavior data as we build new tools that improve our customer’s sleep. Your job will be to marry motivational, behavioral, and sleep quality data into a data set that empowers humans and software to improve sleep.

This role is ideal for someone in a sleep-centric academic setting that has part time availability to work on a high growth project. This role reports to CPO.

Responsibilities:

• Lead Proper’s early sleep data science efforts, support user experiences for Proper customers, Proper coaches, and research efforts
• Ingest, connect, and enrich time series sleep, behavioral, motivational, coaching, and outcomes data events into a unified data model
• Apply machine learning and artificial intelligence models to detect patterns that lead to improved sleep outcomes
• Integrate with wearable (Apple Health, FitBit), audio recording, and self reported sleep data to allow customers maximum flexibility with how they monitor their sleep
• Create beautiful consumer-friendly data visualizations that encourage adherence to good behavior and sleep hygiene practices
• Empower Proper sleep coaches with automated insights to be more efficient and effective in helping their customers sleep better
• Support best-in-class consumer-first ecommerce experiences
• Think omnichannel (native app, mobile web, SMS) in the ingest and delivery of data products
• Define technical solutions with clarity on feasibility, timeline, and cost
• Design a technical architecture that supports rapid product iteration
• Understand and implement best practices for data protection and privacy

Preferred Qualifications:

• 3+ years data science experience
• 2+ years data engineering experience
• Deep experience with time series data 
• Deep experience with modern data science / statistical packages (TensorFlow, PyTorch)
• Experience with popular health / sleep tracking APIs (ex. Apple Health Kit - HKCategoryValueSleepAnalysis)
• Experience with data visualization / plotting library (D3.js, plotly)
• Professional / personal experience working with sleep or similar health data sets
• Prior experience supporting awesome consumer facing products a plus
• Past experience in small, high growth startup environments a plus
• Remote or NYC-area candidates