The Data Science team's goal is to deliver extraordinary support to our brands by using data to make better decisions. We are responsible for building proprietary data and algorithmic capabilities to help us better understand our guests and drive top-line revenue.
As a Data Science Manager, you will help this endeavor by owning innovative marketing data science projects and managing a growing team of data scientists. Projects will include building and deploying real-time machine learning solutions into production across high-visibility digital marketing and customer personalization initiatives. The output of these data science solutions will directly shape business recommendations and customer strategy.
Machine learning models - Develop, deploy, enhance, and maintain machine learning models across multiple large-scale marketing projects
Project & team management – helping prioritize work within sprints and manage/develop team of data scientists
Data cleansing/processing – working with Data Engineering to create automated processes to ingest and cleanse data from multiple data sources and vendors
Process Improvement – identifying opportunities for process improvement and innovative solutions to business challenges, including standing up new Natural Language Processing projects from the ground up
Stakeholder engagement – as a Data Science Team Lead you will work closely with various groups which include analytics, marketing, CRM, and brand leadership in order to communicate data insights, champion the value of data science, and refine solutions to drive value
EDUCATION & EXPERIENCE QUALIFICATIONS
4 year degree in Computer Science, Statistics, Engineering, Science, or Mathematics required
Graduate degree preferred
Required Minimum: 3 years of practical experience with data mining and analytics, database structure and ETL, predictive modeling, machine learning, cloud computing environments, and statistical programming languages;
1 year minimum of managing an analytics team required
REQUIRED KNOWLEDGE, SKILLS or ABILITIES
Deep expertise with statistical programming languages (e.g., R, python), database querying (SQL), and machine learning
Expertise with fundamental statistical analysis
Prior experience with non-theoretical “messy” datasets, i.e., datasets with missing values, inconsistent formatting, etc.
Ability to solve problems using data and clearly communicate the results
Personal integrity, humility, an appreciation for the power of true teamwork, and a sense of humor
Passion for the restaurant industry and desire to train in our restaurants to learn operations. A strong desire to help shape the future at Inspire Brands
PREFERRED KNOWLEDGE, SKILLS or ABILITIES
Experience with Pyspark, Azure Databricks, and/or Git
Familiarity with employing different statistical performance measures and the benefits/tradeoffs of each
Strong technical communicator who is comfortable troubleshooting very complex data problems in large data pipelines
Inspire Brands is a multi-brand restaurant company whose portfolio includes nearly 32,000 Arby's, Baskin-Robbins, Buffalo Wild Wings, Dunkin', Jimmy John's, Rusty Taco and SONIC Drive-In 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.
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