Lead Data Scientist
4 weeks ago
CVS Health is seeking a highly skilled Lead Data Scientist to join our Ads Innovation team. As a key member of our team, you will be responsible for architecting, designing, and implementing end-to-end systems, as well as developing new algorithms to improve system efficiency and performance.
The ideal candidate will have a strong background in statistics, machine learning, and optimization, with experience in building Ads Delivery systems. You will work closely with cross-functional teams to drive system development from ideation to production.
This is a hybrid role, with 3 days per week spent in our NYC/Soho office.
Key Responsibilities- Develop statistical, optimization, and machine learning models for various applications within the Retail Media Network domain
- Plan and implement product experiments, analyzing outcomes to derive insightful conclusions
- Leverage data analysis to gain insights into product performance and identify areas for improvement
- Effectively communicate findings to senior management and guide strategic business decisions
- Collaborate with cross-functional teams to drive system development end-to-end from ideation to production
- 4+ years of industry experience as an Applied or Data Scientist or equivalent
- 4+ years of experience with underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics
- 4+ years of strong programming skills in Python with the ability to develop scalable production-ready solutions for processing and analyzing large data sets efficiently
- 1+ years of experience in system design and architecture
- Experience in experimental design and analysis
- 4+ years of experience using Python and SQL to work efficiently at scale with large data sets
- Proven track-record of mentoring junior team members with code and solution quality
- 6+ years of industry experience
- Skilled in Software Development life cycle and best practices
- Experience in algorithm development and prototyping
- Experience in building Ads Delivery systems
- Experience with productionizing algorithms for near real-time systems
- Excellent communication and presentation skills
Ph.D., M.S., or bachelor's degree in computer science, Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
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