getjerry.com
Data Scientist
getjerry.com, California, Missouri, United States, 65018
You could work anywhere. Why us?Join a pre-IPO startup with capital, traction, and runway ($240M funded | 40X revenue growth in 4 years | $2T market size)
Work closely with brilliant leaders and teammates from companies like McKinsey, Bain, BCG, Better, Nerdwallet etc.
Disrupt a massive market and take us to a $5B business in the next few years
Be immersed in a talent-dense environment and greatly accelerate your career growth
About the opportunity:We are looking for a
Data Scientist
to drive unparalleled value for our insurance partners. This role will focus on our flagship insurance product, the primary revenue driver for our business. Establishing and nurturing robust insurance partnerships is crucial for the continued success and growth of our insurance product. In this high-visibility role, you will report to our VP of BizOps and Analytics and collaborate closely with our insurance operations, product, and business leaders. You will conduct analyses and generate insights using our sophisticated machine learning models to shape our partnership strategies. As the lead analytical and strategy partner supporting our insurance operations, you will play a critical role in helping us go from 5M to 50M customers and become a $5B business in the next few years.How you will make an impact:Define and develop levers and tools to drive profitable growth with insurance partners
Build scalable solutions and processes to analyze customer historical loss data and uncover trends to inform business decisions
Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies
Partner with marketing and data teams to integrate customer performance insights into user acquisition strategies
Identify opportunities to automate manual processes and optimize operational efficiency
Preferred experience:Bachelor’s degree in a quantitatively or intellectually rigorous discipline
3+ years of consulting, private equity, investment banking, or data science experience
Proficient in SQL and Python (or a similar ML programming language)
Ability to create alignment and drive decisions
Who you are:You have a framework for problem-solving and live by first principles
Comfortable communicating with audiences varying from front-line employees to the company’s C-suite
You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence
#J-18808-Ljbffr
Work closely with brilliant leaders and teammates from companies like McKinsey, Bain, BCG, Better, Nerdwallet etc.
Disrupt a massive market and take us to a $5B business in the next few years
Be immersed in a talent-dense environment and greatly accelerate your career growth
About the opportunity:We are looking for a
Data Scientist
to drive unparalleled value for our insurance partners. This role will focus on our flagship insurance product, the primary revenue driver for our business. Establishing and nurturing robust insurance partnerships is crucial for the continued success and growth of our insurance product. In this high-visibility role, you will report to our VP of BizOps and Analytics and collaborate closely with our insurance operations, product, and business leaders. You will conduct analyses and generate insights using our sophisticated machine learning models to shape our partnership strategies. As the lead analytical and strategy partner supporting our insurance operations, you will play a critical role in helping us go from 5M to 50M customers and become a $5B business in the next few years.How you will make an impact:Define and develop levers and tools to drive profitable growth with insurance partners
Build scalable solutions and processes to analyze customer historical loss data and uncover trends to inform business decisions
Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies
Partner with marketing and data teams to integrate customer performance insights into user acquisition strategies
Identify opportunities to automate manual processes and optimize operational efficiency
Preferred experience:Bachelor’s degree in a quantitatively or intellectually rigorous discipline
3+ years of consulting, private equity, investment banking, or data science experience
Proficient in SQL and Python (or a similar ML programming language)
Ability to create alignment and drive decisions
Who you are:You have a framework for problem-solving and live by first principles
Comfortable communicating with audiences varying from front-line employees to the company’s C-suite
You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence
#J-18808-Ljbffr