Data Scientist, Growth

Next Insurance is a well-funded post-Series -B startup based in Palo Alto, California with offices in Kfar Saba, Israel. We are revolutionizing the insurance industry by providing small businesses with simple, affordable, tailored insurance coverage by optimizing innovative technology and data science for a superior customer experience.We are looking for a driven Data Scientist to help us bring machine learning to the insurance industry. You will enable us to make the best use of our proprietary data to optimize our growth operations. As a data scientist at Next Insurance, you will work on a wide range of projects, building predictive models of customer behavior and performance (LTV, churn, conversions, etc.). You will report directly to our Head of Data Science and will work closely with both the VP of growth and our product and BI teams.


Research, develop and evaluate predictive models

Iterate and pivot quickly to deliver MVP solutions

Understand the data and dig deep to extract actionable insights

Clearly communicate findings to team members and design A/B tests, and deployment strategies

Design and develop functional monitoring dashboards to improve growth operations

Think creatively and outside the box to answer desired experimental questions

Work cross-functionally with engineering, product, marketing, business intelligence, insurance operations, customer support, senior management, and external partners

Desired Skills and Experience:

3+ years of hands-on experience in machine learning/data science

Previous experience in a similar and relevant role, analyzing data in the following domains:

  • User acquisition
  • Conversion and funnels
  • User behavior and performance
  • Attribution and prediction models

MS/PhD in Computer Science, Statistics, Applied Math, or related areas

Strong SQL querying skills

Experience in writing both agile exploratory analyses, as well as production-level code in a fast-paced environment

Ability to communicate the results of analyses clearly and effectively in English

Fluency with an analytical programming language (preferably python) and the standard numerical packages

Experience with BI development and technologies (relational / columnar / graph databases, visualization tools such as tableau, aws products, etc.) is a plus

Some flexibility with hours, as the role involves a lot of work with the US

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