Little Caesars is looking to enhance its data-driven decision-making capabilities by developing best-in-class data science solutions, including AI/ML, to improve business outcomes and make an already great company even better.
Requirements
- Capability to develop data science solutions in SQL, R, and/or Python, as well as utilize and adapt open-source solutions.
- Knowledge of machine learning and advanced methodologies in key areas of the LCE/IHI business, like pricing, forecast predictions, optimization, etc.
- Knowledge of processes and tools (including embedded features) that secure data security and data privacy.
- 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.
- Understanding of Databricks, Jupyter notebooks, as well as Azure Data Factory.
Responsibilities
- 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.
- Work within 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.)
- Work with and reflect the best practice in data science across the companies and functions and actively share knowledge and data assets with decentralized data and analytics resources.
- Actively learn 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.
Other
- Undergraduate in Data Science or undergrad in quantitative studies with 2+ years of Data Science practice.
- Ability to convey, in simple terms complex mathematical and statistical concepts and how they relate to the business challenge.
- Ability to understand the business problem to be solved and to develop the solution in a collaborative way.
- Ability to communicate findings in an audience adapted way, including through compelling visualizations.
- Very good written and verbal communication skills.
