<h3>Data Science Manager II, Growth</h3>
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Location: Remote - US
Time Type: Full time
Posted On: Posted 2 Days Ago
Job Requisition ID: JR101487
CURRENT ROOT EMPLOYEES: Please apply using the career page in Workday. This career site is for external applicants only.
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.
The Quantitative Science team is responsible for the majority of all marketing capital allocation, using quantitative methods to test, maintain, and enhance our marketing strategies across numerous distribution channels. As a manager on the Growth Data Science team, you will drive continuous improvement of marketing strategies, channels, and operational processes while supporting the exploration of novel opportunities.
You will lead a high-performing team of 3-5 data scientists and marketing specialists responsible for optimizing bidding strategies, scaling Root’s affiliate marketing program, and operating the performance marketing machine. You will collaborate with cross-functional partners in Product, Engineering, and State Management to stay in lockstep while executing on operational initiatives, communicating the complexities of your team’s domain to enable better strategic decisions and tradeoffs.
Root is a “work where it works best” company. This means we will support you working in whatever location that works best for you across the US.
Salary Range: $178,419 - $223,024 (Bonus and LTI eligible)
How You Will Make an Impact
<ul>
<li>Lead a team of 3-5 data scientists and marketing specialists on the Growth Data Science team</li>
<li>Drive continuous improvement of marketing strategies, channels, and operational processes</li>
<li>Support rapid testing and rigorous measurement of novel marketing strategies and channels</li>
<li>Collaborate with cross-functional partners to influence roadmaps, prioritize key initiatives, and execute on these initiatives in lock-step</li>
<li>Craft and deliver communication that drives clarity, awareness, and alignment across teams</li>
<li>Lead short- and medium-term planning for the team, including sprint planning, 6-week reviews, and quarterly OKR setting</li>
<li>Maintain a high standard of operational excellence across the team</li>
<li>Coach and mentor individuals on the team to increase talent density and foster professional development and growth</li>
</ul>
What You Will Need to Succeed
<ul>
<li>Advanced degree in a quantitative discipline (PhD preferred) and 5+ years of applying advanced quantitative techniques to problems in industry</li>
<li>1+ years of experience in a leadership role, with a track record of enhancing team output</li>
<li>Demonstrated experience building, validating, and applying statistical machine learning methods to industry problems</li>
<li>Excellent command of AWS (or analogous) utilities, e.g., EC2, SageMaker, S3, Athena</li>
<li>Excellent written and verbal communication skills: communicates effectively with technical and non-technical audiences</li>
<li>Multi-threading: maintains up to date knowledge of team initiatives and ensures that they are on track</li>
<li>Ownership mentality: takes the initiative to identify, champion, and execute on the highest impact work</li>
<li>Ability to consider problems from first principles, with the instinct to use expertise and prior experience to guide but not dictate the solution</li>
</ul>
Preferred but not required:
<ul>
<li>Insurance industry experience</li>
<li>Full funnel marketing experience: developing, executing, and measuring the impact of targeted, data-driven marketing strategies</li>
</ul>
<h3>Don’t meet every single requirement?</h3>
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 you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway!
<h3>Join us</h3>
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.
<h3>Who we are</h3>
We’re harnessing the power of technology to revolutionize insurance. Using machine learning and mobile telematic platforms, we’ve built one of the most innovative FinTech companies in the world. And we’re just getting started.
<h3>What draws people to Root</h3>
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.
Autonomy—for assertive self-starters, the opportunities to contribute are limitless.
Impact—by challenging the way it’s 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.
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Come join us in reshaping the future!Within the CCB Data & Analytics organization, the Focused Analytics Solutions Team (FAST) develops and executes actionable data science and analytical solutions in a consulting-style environment, while placing a premium on creative, practical problem solving and superior client interaction. An equally important part of the FAST mission is to train and develop the next generation of data and analytics talent through hands-on apprenticeship and structured classroom-style training. The team delivers across a wide range of high-visibility, strategic initiatives, partnering with LOB-aligned (e.g., Consumer Bank, Card, Wealth Management) and cross-functional (e.g., Digital, Operations, Marketing) analytics teams.As a Data Science Manager on the Focused Analytics Solutions Team, you will lead the design, build, and delivery of actionable and end-to-end analytical solutions spanning the analytical spectrum. This role is a mix of consulting know-how (problem solving, thought leadership, communication), analytical proficiency in statistics, data science and machine learning, and, when required, hands-on proficiency in SQL/Python programming, visualization methods and technologies, and data engineering / infrastructure.Job responsibilities<ul><li>Lead teams of data scientists to develop, plan, and deliver end-to-end analytical projects as team lead and, when necessary, as a hands-on data scientist</li><li>Serve as a trusted advisor and thought leader by providing expertise throughout project lifecycles, from scoping and planning to generating insights and deploying the solution</li><li>Guide project teams in synthesizing analytical findings for consumption by internal analytical clients and senior executives</li><li>Establish and manage relationships with internal clients and partners</li><li>Recruit, develop and retain talent by creating an environment of open communication that prioritizes continued learning and growth</li><li>Set standards of excellence for the team by demonstrating professional expertise, strong work ethic, integrity and professional behavior</li><li>Maintain a rigorous controls environment to ensure accurate and timely results</li></ul>Required qualifications, capabilities, and skills<ul><li>5+ years of industry experience in data science or business analytics roles (e.g., marketing analytics, sales analytics, business insights)</li><li>Experience leading project teams and coaching/mentoring early career talent</li><li>Foundational and applied knowledge of statistical, data science, and machine learning methodologies, including:<ul><li>Descriptive, inferential, and causal statistics</li><li>Predictive modeling</li><li>Optimization modeling</li><li>Generative AI & Large Language Models</li><li>A/B testing methods</li></ul></li><li>Excellent communication, with an ability to convey complex information in an understandable, compelling, and persuasive manner to non-technical clients, executives, and junior data scientists</li><li>Familiarity with a variety of analytical project types, ranging from business intelligence, to data engineering and infrastructure, to higher order modeling, including model deployment and maintenance</li><li>Proficiency in SQL and Python, plus big data technologies such as Hive, Hadoop, and Spark</li><li>Bachelor’s degree in relevant quantitative field (e.g. Statistics, Economics, Applied Math, Operations Research, Physics, Data Science)</li></ul>Preferred qualifications, capabilities, and skills<ul><li>Advanced degree in relevant quantitative field (e.g. Statistics, Economics, Applied Math, Operations Research, Physics, Data Science)</li><li>Direct people management experience</li><li>Financial services experience</li></ul>
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