Lead Data Scientist-Member Analytics
Full Time / New York, United States
This position will play a lead role within a cross-functional team, delivering predictive analytics solutions to drive customer engagement and next-best-action, and improve customer experience across critical journeys, e.g., onboarding, breast cancer, maternity. The candidate will lead a project team responsible for extracting and manipulating data from multiple, large data sources, using the data to deliver predictive models and solutions, partnering with internal stakeholders to target members across channels (mobile app, web, email, social, call center, Apple), and managing day-to-day interactions with business stakeholders.
Fundamental Components:
- Lead team of 2-3 Data Scientists on the development and delivery of predictive analytics solutions to drive behavior change or customer experience across channels
- Consults with business partners to understand problems and goals, understand the business value, and translate into business opportunities to be captured through predictive analytics solutions
- Develops and/or uses advanced algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes
- Demonstrates superior communication skills, and ability to develop and participate in presentations and consultations to business stakeholders on analytics results and solutions
- Supports deployment of insights across multiple channels, i.e., web, mobile app, email, social, call center, Apple watch
- Motivates team members and probes into technical detail
- Contributes Subject Matter Expertise (SME) through interactions with team members, peers and managers to exchange complex information related to areas of specialization
- Mentors others, and champions 360-feedback across the team
An Ideal Candidate will have the following background and experience:
- They are looking for candidates who embrace the explorer mindset of asking questions, iterating quickly, being comfortable pivoting intelligently, and moving fast.
- Background in healthcare (payer, pharmacy, PBM, clinical), insurance, technology, or finance
- 7-10 or more years of progressively complex related experience
- Advanced in-depth specialization in mathematical analysis methods, machine learning, statistical analyses, and predictive modeling
- Expertise in using R or Python to manipulate large data sets and develop statistical models
- Expertise in data management in a Hadoop environment, including use of Hive
- Excellent problem-solving skills, critical thinking, and conceptual thinking abilities
- Experience regularly working collaboratively with others to solve the problem
- Superior ability to communicate technical ideas and results to non-technical clients in written and verbal form
- Strong organizational, management and leadership skills
- Ability to negotiate and manage interactions across the business and project stakeholders
- Master’s Degree required