Data Scientist

at  Inspire Brands

Requiring in-depth knowledge and experience needed to operate independently with limited guidance and oversight, the Data Scientist applies a new perspective on existing solutions to solve complex problems. Making decisions within guidelines and policies that impact a range of customer, operational, process, or project activities, they will develop work plans for short-term assignments of moderate complexity.

EDUCATION AND EXPERIENCE QUALIFICATIONS

• 4-Year degree in a STEM field with 2-3 years of highly relevant experience
• Familiarity with statistics and machine learning concepts is essential
• Preferred Master’s degree in a STEM field with 1-2 years of work experience OR PhD in a STEM field with 0-1 years of work experience

REQUIRED KNOWLEDGE, SKILLS OR ABILITIES

• Must be proficient in at least 3 of the 6 tools: Spark, Python, R, SQL, Git Version Control, AWS/Azure/GCP
  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, 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

• Lead statistical analysis and build models for various and complex business problems.
• Lead the analytical design for complex problem solution, taking input from others.
• Lead the development of projects with multiple statistical deliverables leveraging business and technical expertise.
• Lead statistician on business or technical domain
• Contributes to code repository and improves the coding of others.
• Able to analyze and prepare complex and new data sources and incorporate into analytical solutions.
• Evaluates the technical work of peer statistical analysts, guiding them on deliverable quality and accuracy.
• Communicates results to stakeholders and mid-level leadership, able to communicate business impact of work.