Root Inc. · 1 day ago

Senior Data Scientist, Growth

United States

Full-time

Remote

Mid, Senior Level

$126K/yr - $158K/yr

3+ years exp

Maximize your interview chances

AccountingAdvice

Insider Connection @Root Inc.

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Expand and diversify Root’s direct marketing portfolio by shepherding new mid-upper funnel channels from R&D to production

Rapidly prototype, test, and iterate on novel marketing strategies in the mid and upper funnel

Design time- and cost-efficient A/B tests that enable rigorous measurement of the incremental profit impact of marketing campaigns

Deliver clear and prompt communication of research results that drive action to leaders and stakeholders

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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Advanced quantitative techniquesMid-upper funnel marketingMachine learning modelsA/B testingPythonR programmingSQLAWS utilitiesBusiness intelligence skillsOwnership mentalityProblem definition skillsInsurance industry experience

Required

Advanced degree in a quantitative discipline (PhD preferred) and 3+ years of applying advanced quantitative techniques to problems in industry

Mid-upper funnel marketing experience: Developing targeted, data-driven marketing strategies and deploying them on DSPs such as The Trade Desk, DV360, or Meta

Mid-upper funnel marketing experience: Creating and deploying machine learning targeting models for social, video, display, and/or email campaigns

Mid-upper funnel marketing experience: Designing and implementing A/B tests to measure the incremental lift of new campaigns

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)

Technical skills: Experience with AWS (or analogous) utilities, e.g., EC2, SageMaker, S3, Athena

Technical skills: 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