Posted 24 days ago
Data Science Manager
AI Summary
Manages a team of data scientists delivering AI and machine learning solutions for marketing, personalization, and recommender systems, with direct reports and cross-functional collaboration.
About this role
ABOUT INSPIRE BRANDS
Inspire is a multi-brand restaurant company whose portfolio includes more than 33,000 Arby’s, Baskin-Robbins, Buffalo Wild Wings, Dunkin’, Jimmy John’s, and SONIC restaurants worldwide.
We’re made up of some of the world’s most iconic restaurant brands, but we’re much more than just a restaurant company. We’re a team of hundreds of thousands who individually and collectively are changing the way people eat, drink, and gather around the table. We know that food is much more than a staple—it’s an experience. At Inspire, that’s our purpose: to ignite and nourish flavorful experiences.
OVERVIEW
As part of Inspire’s digital transformation and customer engagement strategy, we are expanding our data science capabilities. To achieve this, we require experienced data scientists who can help us deliver new AI and machine learning solutions.
KEY RESPONSIBILITIES OF DATA SCIENCE MANAGER
- Manage a team of data scientists focused on marketing, personalization, and recommender systems.
- Work closely with digital marketing and CRM teams.
- Familiarity with various team management styles including Scrum, Agile, Kanban.
- Manage 2 direct reports (data scientists).
EDUCATION/WORK EXPERIENCE
- MINIMUM requirement options:
- Master’s degree in a STEM field with 4+ years of relevant work experience OR
- PhD in a STEM field with 3+ years of relevant work experience.
- PREFERRED:
- Master’s degree in a STEM field with 5+ years of relevant work experience. Experience managing multiple individual contributors.
SKILL REQUIREMENTS
- Must demonstrate ability to manage stakeholders, capacity to think strategically, and aptitude to coach, mentor, and manage highly technical FTEs.
- Deep working knowledge of relational databases.
- English Proficiency required.
- Must be proficient in at least 3 of the 6 tools: Spark, Python, R, SQL, Git Version Control, AWS/Azure/GCP.
Skills
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