Lead Data Scientist

WHO WE ARE: 

Lirio is the leader in behavior change AI, combining behavioral science with artificial intelligence to move people to better health. Through Precision Nudging™, our intelligent behavior change journeys assemble and deliver tailored, behavioral interventions to overcome unique barriers to engaging with and acting on health recommendations. By scaling personalized interventions, our clients deliver patient-focused experiences that initiate and drive sustained behaviors across their patient and member populations, optimizing patient engagement, closing gaps in care, lowering costs, and measurably improving health outcomes. 

POSITION SUMMARY 

The Lead Data Scientist is responsible for defining and implementing an applied data science strategy for Lirio, including methodology for framing questions and attaining insights, and communicating those insights to internal and external stakeholders.  The role is also responsible for leading Lirio’s data science team, as well as managing the operational cadence around data science to guide insights and reporting tasks and more effectively use data to achieve business and customer goals. 

ESSENTIAL DUTIES & RESPONSIBILITIES: 

To perform this job, an individual must perform each essential duty satisfactorily with or without reasonable accommodation.  

Data Science Strategy and Implementation (60%) 

• Develops and implements the applied data science strategy for Lirio  

• Collaborates internally and externally to capture questions about behavior change at scale in healthcare interventions and proposes methods and metrics to answer those questions leveraging Lirio data.  
• Develops and implements an approach for insights/predictions/analyses that informs internal and external stakeholders about the efficacy of behavior change at scale and opportunities for improvement. 
• Develops and implements a data science communication strategy for Lirio clients that includes the data-driven framing of Lirio’s efficacy and providing both standardized and custom visualizations that meet a client’s business requirements and data.   

• Serves as a thought leader in data science for behavior change in healthcare. 

Leadership (20%) 

• Serve as the primary point-of-contact to Lirio leadership and clients around data science activities, capabilities, and deliverables. 
• Serve as a supervisor, mentor, and subject matter expert for the Data Science team. 
• Provide strategic guidance around the data science opportunities, methodologies, and implementations for Lirio. 

Data Science Operations (20%) 

• Leads the Insights and Reporting Strategy Session, a regular client-focused collaboration meeting designed to identify, task, and plan.  
• Serves as the ‘interpretation layer’ between Data Engineering and Lirio’s domain scientists to enable insights generation and product improvement. 
• Collaborates with Data and Analytics Engineering  

KNOWLEDGE, SKILLS, AND ABILITIES 

• Bachelor’s degree required 
• PhD preferred 
• 5+ years of experience in applied data science.  
• Experience in a leadership/management role 
• Experience working with domain experts to analyze complex datasets. 

• Knowledge/experience with data science applied in the domains of behavioral science and/or healthcare is highly desired. 
• Knowledge/experience working with machine learning experts or demonstrated experience in explainable AI is highly desired.  

• Experience implementing algorithms and visualizations in code (e.g., python, java, javascript) and familiarity with data science libraries. 
• Experience working with industry data analysis/visualization tools (RStudio, Power BI, Observable) 
• Knowledge of software engineering and data modeling best practices 
• Experience with big data, distributed systems, data modeling, data literacy, data warehousing, etc. 

SYSTEMS EXPERIENCE 

• Python  
• JavaScript 
• Databases, SQL, and data warehouses (e.g. Snowflake) 
• AWS 

COMPETENCIES / QUALIFICATIONS 

• Ability to communicate technical subjects at a variety of levels 
• Ability to communicate authoritatively with clients and vendors 
• Exceptional problem solving 
• Empathy 
• Flexibility 
• Understanding of ethical use of data 
• Understanding of data governance 
• Ability to take leadership of initiatives 
• Ability to mentor and encourage colleague 
• Experience building scalable/repeatable processes 
• Ability to understand complex systems with many pieces 

BENEFITS 

• Effective on 1st day of employment:
  • Medical (HSA or FSA available)
  • Dental 
  • Vision
  • Short-term disability
  • Long-term disability
  • Life & AD&D 

• Available after 2 months of employment
  • 401K 

• 10 paid holidays 
• Flexible time off policy