getjerry.com
Senior Data Scientist, Product Growth
getjerry.com, San Francisco, California, United States, 94199
We'd love to hear from you if you like:Making a big impact with a Forbes Top Startup Employer
Working on products that have traction (40X revenue growth in 4 years | #1 rated app in the insurance comparison category)
Solving problems in a huge market ($2T market size)
Working closely with serial entrepreneurs and seasoned leaders who have scaled companies like Robinhood, Amazon, LinkedIn, Wayfair, SoFi, Microsoft, etc.
About the opportunity:We are looking for a Senior Data Scientist to join our central data team and partner with one of our emerging product groups. Helping everyday, hard working Americans save time and money on their cars and creating a world class experience is what drives every decision we make as a company. Since launching our mobile app in 2019, we have amassed over 4M customers, expanded our product offerings to multiple categories and scaled our team 10X. Our data team fuels all of our business and product decisions through delivering analytical insights and building advanced models.Working with a brilliant team of product managers, product designers, software engineers, and key business leaders, you will leverage data and insights to drive growth and retention for one of our emerging product groups (car repair marketplace or chatbot). You will perform analytical deep dives, develop and analyze experiments, build predictive models, and make recommendations that inform our product roadmap and new investment opportunities.How you will make an impact:Partner closely with our product managers, software engineers, product designers, and key business leaders to drive user growth and retention for our core insurance product.
Design, run, and analyze A/B experiments on new and existing features; extract key insights, share learnings and make recommendations on next steps.
Build key reports, dashboards, and predictive models to monitor the performance of our insurance business, and communicate analytical outcomes to our teams.
Transform and refine raw production data for analytical needs.
Continually improve our data governance and data consistency standards within our database.
Work with data engineering team on data tracking, integrity, and security as needed.
Work with other data scientists to evolve, optimize and integrate machine learning models.
Who you are:Intellectually curious: You're not satisfied with surface level insights. You dive deep to understand how systems work, why people behave in certain ways and are intrinsically motivated to uncover root causes for issues or underlying reasons behind decisions.
Creative problem-solver: No challenge is too complex, no issue is too hard.
Data-driven: You're extremely analytical and live in data. At the same time, you're confident enough to make decisions when the data is limited.
Strong communicator: Able to drive alignment and communicate effectively to different audiences.
Ideal profile:Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science or a related discipline.
2+ years of experience as a data scientist or product analyst in a consumer-facing web or mobile app environment.
Experience designing and implementing A/B tests, and analyzing user experience.
Hands-on experience with SQL (advanced proficiency).
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Working on products that have traction (40X revenue growth in 4 years | #1 rated app in the insurance comparison category)
Solving problems in a huge market ($2T market size)
Working closely with serial entrepreneurs and seasoned leaders who have scaled companies like Robinhood, Amazon, LinkedIn, Wayfair, SoFi, Microsoft, etc.
About the opportunity:We are looking for a Senior Data Scientist to join our central data team and partner with one of our emerging product groups. Helping everyday, hard working Americans save time and money on their cars and creating a world class experience is what drives every decision we make as a company. Since launching our mobile app in 2019, we have amassed over 4M customers, expanded our product offerings to multiple categories and scaled our team 10X. Our data team fuels all of our business and product decisions through delivering analytical insights and building advanced models.Working with a brilliant team of product managers, product designers, software engineers, and key business leaders, you will leverage data and insights to drive growth and retention for one of our emerging product groups (car repair marketplace or chatbot). You will perform analytical deep dives, develop and analyze experiments, build predictive models, and make recommendations that inform our product roadmap and new investment opportunities.How you will make an impact:Partner closely with our product managers, software engineers, product designers, and key business leaders to drive user growth and retention for our core insurance product.
Design, run, and analyze A/B experiments on new and existing features; extract key insights, share learnings and make recommendations on next steps.
Build key reports, dashboards, and predictive models to monitor the performance of our insurance business, and communicate analytical outcomes to our teams.
Transform and refine raw production data for analytical needs.
Continually improve our data governance and data consistency standards within our database.
Work with data engineering team on data tracking, integrity, and security as needed.
Work with other data scientists to evolve, optimize and integrate machine learning models.
Who you are:Intellectually curious: You're not satisfied with surface level insights. You dive deep to understand how systems work, why people behave in certain ways and are intrinsically motivated to uncover root causes for issues or underlying reasons behind decisions.
Creative problem-solver: No challenge is too complex, no issue is too hard.
Data-driven: You're extremely analytical and live in data. At the same time, you're confident enough to make decisions when the data is limited.
Strong communicator: Able to drive alignment and communicate effectively to different audiences.
Ideal profile:Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science or a related discipline.
2+ years of experience as a data scientist or product analyst in a consumer-facing web or mobile app environment.
Experience designing and implementing A/B tests, and analyzing user experience.
Hands-on experience with SQL (advanced proficiency).
#J-18808-Ljbffr