Terminix

Sr. Manager, Data Scientist, Marketing Analytics

Memphis, TN, US$135,700-$176,400Posted 11 days ago

Job Description

Benefits Start Day 1 for Full-Time Colleagues - No Waiting Period!

*For more information about our benefits, see below!*

We are proud to be a member of the Rentokil family of companies, the global leader in Pest Control and other services across more than 90 countries. We pride ourselves on being a trusted partner to many of the world's leading brands and serve consumer and business customers across multiple industries. We are extremely proud of our legacy of excellence and constantly work to fulfill our mission to "protect people, enhance lives, and preserve the planet."

Overview

We are seeking an experienced and highly motivated Sr. Manager, Data Scientist to lead a team of talented data scientists focused on advancing our marketing analytics capabilities. This role will be instrumental in translating complex marketing challenges into data-driven solutions, driving insights that optimize campaign performance, enhance customer understanding, and maximize ROI. The ideal candidate will possess a strong blend of technical expertise in data science, proven leadership abilities, and a deep understanding of marketing strategies and analytics.

Duties & Responsibilities

* Team Leadership & Management

+ Lead, mentor, and develop a team of 2-3 data scientists, fostering a collaborative and high-performing environment. + Set clear goals, provide regular feedback, and conduct performance reviews for team members. + Support the professional growth of team members through training, conferences, and challenging assignments. + Collaborate with cross-functional teams to identify opportunities for leveraging data science to create business value. + Manage competing priorities across multiple projects while ensuring adherence to timelines, budgets, and quality standards. + Oversee the end-to-end lifecycle of data science projects, from ideation and prototyping to production and monitoring. + Conduct rigorous reviews of statistical and

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