November 8
• 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
• 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 • Creating and deploying machine learning targeting models for social, video, display, and/or email campaigns • 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) • 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 building and operationalizing media mix models • Experience using identity graphs to enhance targeting and measurement of marketing campaigns • Insurance industry experience
Apply NowNovember 8
201 - 500
Data Scientist to drive innovation in Versapay's Accounts Receivable Efficiency Suite.
🇺🇸 United States – Remote
💵 $105k - $125k / year
💰 $4M Post-IPO Debt on 2019-11
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
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11 - 50
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