Data Scientist

Little Caesars Pizza • Detroit, MI

1d

About The Position

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 Scientists 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 Scientists 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 and Data Governance. 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. 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. 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.

Requirements

• Undergraduate in Data Science or undergrad in quantitative studies with 2+ 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.
• 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.
• Capability to support the deployment of solutions in additional programing languages and applications.
• Ability to bring structured thinking in ambiguous problems spaces and delivering 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.
• Very good written and verbal communication skills.
• 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.
• 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.

Benefits

• Full time colleagues qualify for a variety of benefits, including medical, dental, and vision insurance, 401(k) with company match, paid holidays and paid time off, legal and counseling services, flexible spending accounts, disability and adoption benefits, and more.
• Colleagues also enjoy the perks of being associated with professional sports teams and have access to events at Little Caesars Arena and Comerica Park in our hometown of Detroit, Michigan.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level