Job Specifications
Build a Bigger, Better, Bolder Future:
Imagine working for a company that measures its success based off the growth of its colleagues, a company that invests in its future by investing in you. Little Caesars is a company where our colleagues make an impact.
Your Mission:
The Data Science pillar of LCE/IHI supports a broad array of business and technology stakeholders by driving the development of LCE/IHI data science solutions (incl. AI/ML) to a best-in-class level. The Data Scientist II in this department bring data science training, education, and capabilities, as well as a business focus and outcome orientation to a use case driven approach for impactful results. Data Scientist II are critical team members in analytics product teams comprised of business leaders and technical experts. In addition, they are key members of the Global Data & Analytics team, which includes Business Intelligence, Data Governance, and Data Engineering.
The company is clear and committed to the "what" - enabling data driven decisioning, as well as the "why" - to make a great company even better- and the Data Science role is key to "how" we make this happen.
How You'll Make an Impact:
Support LCE/IHI decision makers across levels, geographies, etc. with key analytics products like, predictive analytics model, recommendation engines, attrition/retention models, large scale optimization engines, as well as key analytics techniques like multivariate testing - to name a few
Create and contribute to the development of team structures that are adaptable as we grow and scale the data science work (e.g., MLOps, Data Engineering, Product Owners, etc.)
Develop and adhere to the best practice in data science across the companies and functions and actively share knowledge and data assets with decentralized data and analytics resources
Leverage the key drivers of our business through the building of advanced analytics products that enable business leaders to know with confidence the best path forward
Partner with infrastructure, data warehouse and data engineering colleagues to address the immediate needs identified in the development of business focused analytics products and build a future landscape that enables deeper analytics at greater speed
Partner with the leaders and coworkers in centralized data functions, like Data Governance and BI to support the efficient built-out of the data and reporting infrastructure that supports all analytics
Highlight opportunities to use new data sources and new data science tools that are value-adding and cost effective
Stay current around developments and trends in advanced analytics with a focus on the relevancy for LCE/IHI businesses and capability state
Support and challenge other members of the Global Data and Analytics team to drive data driven decisioning
Mentor others and implement best practices on technical, statistical, and analytical tasks
Responsible for the delivery of individual delivery of large, complex tasks/project components and lead delivery small sized projects (up to 12 FTE weeks)
Who You Are:
Masters in Data Science or undergrad in quantitative studies with 2+ years of Data Science practice OR 5+ years Undergraduate in Data Science or undergrad in statistics, mathematics, computer science, or similar fields of study with 5+ years of Data Science practice
Capability to develop data science solutions in SQL, R, and/or Python, as well as utilize and adapt open-source solutions
Proficiency to convey, in simple terms complex mathematical and statistical concepts and how they relate to the business challenge
Accomplished in analyzing business challenges and developing solutions through cross-functional collaboration
Proficiency to communicate findings in an audience adapted way, including through compelling visualizations
Capability to support the deployment of solutions in additional programing languages and applications
Practiced in bringing structured thinking in ambiguous problems spaces and delivering solutions
Experience with machine learning, artificial intelligence, and advanced methodologies in key areas of the LCE/IHI business, like pricing, forecast predictions, optimization, etc.
Experience with processes and tools (including embedded features) that secure data security and data privacy
Excellent written and verbal communication skills
What Will Make You Stand Out:
Knowledge of how on-prem and cloud data storage factors in the design of data science solutions
Understanding modern ways of working/ product development such as Agile, Design Thinking, MLops
Experience in Databricks, Jupyter notebooks, as well as Azure Data Factory
Where You'll Work:
This position may require minimal travel to vendor locations, assessment at stores and Ilitch Companies facilities, data centers or seminars/networking.
Requires extended periods of time sitting and talking on the phone.
Works in a normal office environment where there is no physical discomfort due to temperature, noise
About the Company
ABOUT LITTLE CAESARS(r) Little Caesars, the Best Value in Pizza*, was founded by Mike and Marian Ilitch as a single, family-owned restaurant in 1959 and is headquartered in downtown Detroit, Michigan. It is the third-largest pizza chain in the world, with restaurants in each of the 50 U.S. states and 29 countries and territories. Known for its HOT-N-READY(r) pizza, Crazy Puffs(r), and famed Crazy Bread(r), Little Caesars uses quality ingredients, like fresh, never-frozen mozzarella and Muenster cheese and sauce made from fre...
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