Data Scientist

About Hopscotch Health
Hopscotch Health is a technology-driven healthcare startup focused on building the future of healthcare, by bringing together the best practices from data science, artificial intelligence, and behavior science. We work with our partners from hospitals, clinics, and social organizations to create comprehensive programs for chronic disease management. 

What sets us apart is that we’re data smart - our technology is highly adaptable to the most pressing healthcare problems. Through our partnerships with and talent from organizations including Carnegie Mellon University, Tata Institute of Social Sciences, and Asian Cancer Institute, we’re making the tools to monitor and improve health simple, intuitive, and human. 

Join us in building the healthcare system of the future! 

Our Values: 

We believe that everybody should be able to afford quality healthcare access, that any healthcare system should account for not just medicine but all the determinants of health and that technology can help us get there faster. To read more about the potential of artificial intelligence and behavioral science to tackle large healthcare challenges, click here.

Our North Star goal is to establish a roadmap for the implementation of Universal Healthcare. To target some of the biggest challenges head-ons, we’re building programs tackling tobacco cessation and diabetes management in resource-constrained populations. To read more about the chronic disease epidemic in India, click here.

About the role: 

We are looking for a data science expert who has 2 to 3 years of hands-on experience in Python with broad experience in machine learning and cloud AI. We’re looking for a dynamic self-starter given the varied nature of remote work and the agility of the startup environment.

Key responsibilities: 

• Lead and manage a team of data entry personnel and junior data analysts
• Create and maintain automated systems for ensuring data quality
• Maintain ETL and machine learning pipelines
• Build and iterate on reproducible machine learning experiments
• Interface with the backend, front office, and algorithm teams build data delivery pipelines

Does this sound like you? 

Must-haves: 

• Strong grasp of core principles with 2 to 3 years of hands-on experience with Python
• Conversant with NoSQL and data streams
• Prior experience in ML - predictive modeling, tensor flow, NLP
• Prior experience with AWS or another cloud platform