Caret Holdings, Inc.
Senior Data Scientist, Growth page is loaded
Senior Data Scientist, Growth
Apply remote type Remote locations Remote - US time type Full time posted on Posted 3 Days Ago job requisition id JR101941
CURRENT ROOT EMPLOYEES - Please apply using the career page in Workday. This career site is for external applicants only. As part of Root's interview process, we kindly ask that all candidates be on camera for virtual interviews. This helps us create a more personal and engaging experience for both you and our interviewers. Being on camera is a standard requirement for our process and part of how we assess fit and communication style, so we do require it to move forward with any applicant's candidacy. If you have any concerns, feel free to let us know once you are contacted. Were happy to talk it through. The Opportunity We believe that a disruptive insurance company must have a principled quantitative framework at its foundation. At Root, we are committed to the rigorous development and effective deployment of modern statistical machine learning methods to problems in the insurance industry. At Root, the Quantitative Science team owns the majority of all marketing capital allocation, using quantitative methods to test, maintain, and enhance our marketing strategies across numerous distribution channels. As a Senior Data Scientist on the Growth team, youll help deepen Roots brand presence by building the measurement and experimentation infrastructure needed to grow our mid- and upper-funnel marketing. Youll develop causal frameworks, predictive models, and tools to link brand investment to business outcomes like quote starts, binds, and lifetime value. This role is R&D-heavy, focused on high-uncertainty problems with delayed feedback loops. Youll also contribute to brand tracking and survey research, help set measurement standards, and advise stakeholders on interpreting results and allocating spend. Root is a work where it works best company, meaning we will support you working in whatever location that works best for you across the US. We will continue to have our headquarters in Columbus to give more flexibility and more choice about how we live and work. Salary Range
:
$126,000 - $157,500 (Bonus and LTI eligible) How You Will Make an Impact Design measurement frameworks that quantify the impact of brand marketing in mid- and upper-funnel channels, separating signal from noise over long time horizons
Prototype and test brand strategies using structured experiments, focusing on downstream outcomes like engagement, quote starts, and lifetime value
Improve the efficiency of brand generation by optimizing targeting, creative, and channel mix through data-driven experimentation and modeling
Translate research findings into clear, actionable insights that inform brand strategy and investment decisions
Build data science pipelines to quickly iterate on research ideas and put them into production
Take end-to-end ownership of new channels and marketing approaches, continuously improving upon quantitative solutions
What You Will Need to Succeed Advanced degree in a quantitative discipline (PhD preferred) and 4+ years of applying advanced quantitative techniques to problems in industry
Quantitative brand marketing experience: Experience measuring brand impact in mid- and upper-funnel channels using causal inference methods (e.g., synthetic control, Bayesian models, geo-testing
Skilled in designing and analyzing brand lift studies and survey-based measurement
Developed data-driven brand strategies and deployed them through DSPs like The Trade Desk, DV360, or Meta
Built and applied ML models to improve targeting for brand-focused campaigns across social, video, and display
Designed and implemented experiments to quantify the incremental effect of brand exposure on downstream metrics
Technical skills: Advanced programming skills with experience using modern packages in Python or R; expertise in databases and SQL; familiarity with version control (e.g. Git)
Experience with AWS (or analogous) utilities, e.g., EC2, SageMaker, S3, Athena
Strong business intelligence and visualization skills, with the ability to speak to many different audiences
Ownership mentality: takes the initiative to identify, champion, and execute on the highest impact work
Define the problem: Ability to consider problems from first principles, with the instinct to use expertise and prior experience to guide but not dictate the solution
Preferred but not required: Experience with web analytics, customer journeys, measuring early engagement
Experience using identity graphs to enhance targeting and measurement of marketing campaigns
Insurance industry experience
Dont meet every single requirement?
Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Root, Inc., we are dedicated to building a diverse and inclusive workplace, so if youre excited about this role but your past experience doesnt align perfectly with every qualification in the job description, we encourage you to apply anyway! Join us
At Root, we judge people based on the merit of their work, not who they are. If you are passionate about what this role entails and solving real problems, we encourage you to apply. We want to learn about you and what you can add to our team. Who we are
Were harnessing the power of technology to revolutionize insurance. Using machine learning and mobile telematic platforms, weve built one of the most innovative FinTech companies in the world. And were just getting started. What draws people to Root
Our success is in large part due to our unwavering standards in hiring. We recognize that our products are only as good as the people building and promoting them. We want individuals who find solutions by going through the cycle of ideation to implementation with curiosity, rigor, and an analytical lens. Ask anyone who works here and youll hear similar reasons for why they joined: Autonomy for assertive self-starters, the opportunities to contribute are limitless. Impact by challenging the way its always been done, we solve problems that have a big impact on our business. Collaboration we encourage rich discussion and civil debate at every turn. People we are inspired by the collection of crazy-smart people around us. Similar Jobs (5)
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At Root, we're pushing for bold progress and change across the insurance industry and beyond. We're harnessing data and technology to bring fairness and ease to customers through our products, partnerships, and our ongoing efforts to make the roads fairer and safer for everyone. We believe in supporting our team members where they thrive, and we provide the technology and resources that they need to do their best work, wheneverthey are. That's our workand our Root life. #J-18808-Ljbffr
Apply remote type Remote locations Remote - US time type Full time posted on Posted 3 Days Ago job requisition id JR101941
CURRENT ROOT EMPLOYEES - Please apply using the career page in Workday. This career site is for external applicants only. As part of Root's interview process, we kindly ask that all candidates be on camera for virtual interviews. This helps us create a more personal and engaging experience for both you and our interviewers. Being on camera is a standard requirement for our process and part of how we assess fit and communication style, so we do require it to move forward with any applicant's candidacy. If you have any concerns, feel free to let us know once you are contacted. Were happy to talk it through. The Opportunity We believe that a disruptive insurance company must have a principled quantitative framework at its foundation. At Root, we are committed to the rigorous development and effective deployment of modern statistical machine learning methods to problems in the insurance industry. At Root, the Quantitative Science team owns the majority of all marketing capital allocation, using quantitative methods to test, maintain, and enhance our marketing strategies across numerous distribution channels. As a Senior Data Scientist on the Growth team, youll help deepen Roots brand presence by building the measurement and experimentation infrastructure needed to grow our mid- and upper-funnel marketing. Youll develop causal frameworks, predictive models, and tools to link brand investment to business outcomes like quote starts, binds, and lifetime value. This role is R&D-heavy, focused on high-uncertainty problems with delayed feedback loops. Youll also contribute to brand tracking and survey research, help set measurement standards, and advise stakeholders on interpreting results and allocating spend. Root is a work where it works best company, meaning we will support you working in whatever location that works best for you across the US. We will continue to have our headquarters in Columbus to give more flexibility and more choice about how we live and work. Salary Range
:
$126,000 - $157,500 (Bonus and LTI eligible) How You Will Make an Impact Design measurement frameworks that quantify the impact of brand marketing in mid- and upper-funnel channels, separating signal from noise over long time horizons
Prototype and test brand strategies using structured experiments, focusing on downstream outcomes like engagement, quote starts, and lifetime value
Improve the efficiency of brand generation by optimizing targeting, creative, and channel mix through data-driven experimentation and modeling
Translate research findings into clear, actionable insights that inform brand strategy and investment decisions
Build data science pipelines to quickly iterate on research ideas and put them into production
Take end-to-end ownership of new channels and marketing approaches, continuously improving upon quantitative solutions
What You Will Need to Succeed Advanced degree in a quantitative discipline (PhD preferred) and 4+ years of applying advanced quantitative techniques to problems in industry
Quantitative brand marketing experience: Experience measuring brand impact in mid- and upper-funnel channels using causal inference methods (e.g., synthetic control, Bayesian models, geo-testing
Skilled in designing and analyzing brand lift studies and survey-based measurement
Developed data-driven brand strategies and deployed them through DSPs like The Trade Desk, DV360, or Meta
Built and applied ML models to improve targeting for brand-focused campaigns across social, video, and display
Designed and implemented experiments to quantify the incremental effect of brand exposure on downstream metrics
Technical skills: Advanced programming skills with experience using modern packages in Python or R; expertise in databases and SQL; familiarity with version control (e.g. Git)
Experience with AWS (or analogous) utilities, e.g., EC2, SageMaker, S3, Athena
Strong business intelligence and visualization skills, with the ability to speak to many different audiences
Ownership mentality: takes the initiative to identify, champion, and execute on the highest impact work
Define the problem: Ability to consider problems from first principles, with the instinct to use expertise and prior experience to guide but not dictate the solution
Preferred but not required: Experience with web analytics, customer journeys, measuring early engagement
Experience using identity graphs to enhance targeting and measurement of marketing campaigns
Insurance industry experience
Dont meet every single requirement?
Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Root, Inc., we are dedicated to building a diverse and inclusive workplace, so if youre excited about this role but your past experience doesnt align perfectly with every qualification in the job description, we encourage you to apply anyway! Join us
At Root, we judge people based on the merit of their work, not who they are. If you are passionate about what this role entails and solving real problems, we encourage you to apply. We want to learn about you and what you can add to our team. Who we are
Were harnessing the power of technology to revolutionize insurance. Using machine learning and mobile telematic platforms, weve built one of the most innovative FinTech companies in the world. And were just getting started. What draws people to Root
Our success is in large part due to our unwavering standards in hiring. We recognize that our products are only as good as the people building and promoting them. We want individuals who find solutions by going through the cycle of ideation to implementation with curiosity, rigor, and an analytical lens. Ask anyone who works here and youll hear similar reasons for why they joined: Autonomy for assertive self-starters, the opportunities to contribute are limitless. Impact by challenging the way its always been done, we solve problems that have a big impact on our business. Collaboration we encourage rich discussion and civil debate at every turn. People we are inspired by the collection of crazy-smart people around us. Similar Jobs (5)
Data Science Manager II, Growth
locations Remote - US time type Full time posted on Posted 2 Days Ago
Lead Data Scientist I, Lifetime Value
locations Remote - US time type Full time posted on Posted 8 Days Ago
Senior Data Science Manager, Lifetime Value
locations Remote - US time type Full time posted on Posted 14 Days Ago
At Root, we're pushing for bold progress and change across the insurance industry and beyond. We're harnessing data and technology to bring fairness and ease to customers through our products, partnerships, and our ongoing efforts to make the roads fairer and safer for everyone. We believe in supporting our team members where they thrive, and we provide the technology and resources that they need to do their best work, wheneverthey are. That's our workand our Root life. #J-18808-Ljbffr