Data Scientist at Little Caesars Pizza

Detroit, Michigan, United States -

Full Time

Start Date

Immediate

Expiry Date

01 Jan, 26

Salary

0.0

Posted On

03 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, AI, Machine Learning, SQL, R, Python, Data Governance, Business Intelligence, Predictive Analytics, Optimization, Statistical Analysis, Data Privacy, Cross-Functional Collaboration, Data Engineering, MLOps, Agile

Industry

Food and Beverage Services

Description

Job Summary: 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. Key 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 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) Minimum Knowledge, Skills and Abilities: 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 Preferred Skills, Knowledge and Abilities: 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 Working Conditions: 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, dust, and the like. All items listed above are illustrative and not comprehensive. They are not contractual in nature and are subject to change at the discretion of Little Caesars Enterprises Inc. Little Caesar Enterprises, Inc. is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual’s race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested. This company participates in E-Verify. Click on any of the links below to view or print the full poster. E-Verify and Right to Work. PRIVACY POLICY At Little Caesars® Pizza and Blue Line Foodservice Distribution ®, you’re part of a dynamic team in the pizza business. Known for innovation and home of the exclusive Pizza Portal® pickup, Little Caesars is an international brand with a household name – a global company with family-owned restaurants in your neighborhood. Blue Line® sources and delivers ingredients to neighborhoods throughout the U.S. so we can make our famous Hot-N-Ready® pizzas, Crazy Bread®, Caesar Wings®, and more, fulfilling our customer promise. Little Caesars Fundraising proudly helps raise millions of dollars for thousands of schools, churches, sports teams, and other nonprofit organizations. Backed by the global pizza brand, customers of Little Caesars Fundraising enjoy products they can make at home or pick up in stores. Our colleagues are the heart and soul of the business – whether you work in the stores, one of our warehouses, the corporate office, or your home office, Little Caesars, Blue Line and Little Caesars Fundraising colleagues work together to make a big impact in communities around the world. Let’s connect! Share your contact info and upload your resume so we can match you with the perfect role at Little Caesars or Blue Line. 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.

Responsibilities

The Data Scientist II will support decision makers with key analytics products and contribute to the development of adaptable team structures. They will partner with various teams to build advanced analytics products that drive data-driven decision-making.