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Lead the Lifetime Value team, developing statistical models to forecast customer value and influence key business decisions at Root.

Lead the development of causal models for pricing and marketing strategies, enhancing understanding of customer lifetime value while collaborating with cross-functional teams.

As a Principal Data Scientist, you will lead quantitative initiatives in pricing and underwriting, drive advanced statistical modeling, influence strategic decisions, and collaborate across teams to implement modern data science practices.

Lead the data science efforts for partnerships and agent channels, optimizing performance through predictive modeling, research, and collaboration across teams.

The Correspondence Specialist manages mail operations, including sorting, preparing, scanning documents, maintaining records, and assisting team members in a fast-paced office environment.

Lead a team of data scientists, improve experimentation in marketing, streamline workflows, and collaborate across departments to enhance campaign effectiveness.

Lead Root's actuarial pricing team, managing filings and driving innovation while collaborating across departments and mentoring staff.

The Data Scientist II will develop and deploy statistical and machine learning models for assessing profitability influences in the insurance industry, collaborating across departments to enhance decision-making.

Lead growth initiatives through advanced quantitative analysis, measurement frameworks, and machine learning techniques to enhance brand marketing effectiveness.