Manager, Data Scientist

at  McDonalds

Company Description:
McDonald’s is proud to be one of the most recognized brands in the world, with restaurants in over 100 countries that serve 70 million customers daily. We continue to operate from a position of strength. Our updated growth strategy is focused on staying ahead of what our customers want and realizing further growth potential. Our relentless ambition is why McDonald’s remains one of the world’s leading corporations after almost 70 years. Joining McDonald’s means thinking big and preparing for a career that can have influence around the world.
At McDonald’s, we see every day as a chance to create positive impact. We lead through our values centered on inclusivity, service, integrity, community and family. From support of Ronald McDonald House Charities to our Youth Opportunity project and sustainability initiatives, our values keep us dedicated to using our scale for good: good for our customers, people, industry and planet. We also offer a broad range of outstanding benefits including a sabbatical program, tuition assistance and flexible work arrangements.

We are enjoying the flexibility of a hybrid work model, in which employees spend part of their week connecting with co-workers in our state-of-the-art headquarters. Located in the booming West Loop of downtown Chicago, it’s set up to be a global hub that cultivates collaboration:

• Take a class at Hamburger University
• Sample future items in our Test Kitchen
• Utilize the latest technology to connect with your team around the globe

We are an equal opportunity employer committed to the diversity of our crew members, staff, operators, and suppliers. We promote an inclusive work environment that creates feel-good moments for everyone.
Job Description:
We are looking for a Manager, Data Scientist to join our Data Science and Engineering team within Enterprise Data, Analytics and AI (EDAA). EDAA is responsible for turning the System’s data into a winning advantage, empowering a data-centric System making faster and better decisions.
As a Manager, Data Scientist, you will build predictive models and other analytics solution to generate business value. In this role, you will build relationships with stakeholders and cross-functional partners across the globe.

Qualifications:

• Bachelor’s degree and 4+ years of experience in Data Science
• Advanced degree in Data Science, Statistics, Information Technology, Computer Science, or a related discipline, a plus
• Deep understanding of high-performance ML algorithms (SVM’s, gradient boosted decision trees, deep neural networks, etc.)
• Deep understanding of statistical techniques, such as parameter estimation, hypothesis testing, and regression
• Advanced experience in Python, preferably with cloud deployment experience
• Experience in building models that have been deployed to production
• Experience using big data batch and streaming tools (Spark, AWS tools, Hadoop) a plus
• Experience leading projects and building relationships with stakeholders and cross-functional partners
• An understanding of how analytics solutions generate value for the business, as well as how to calculate and demonstrate this value
• Self-starter with high level of intellectual curiosity
• Strong analytical and hardworking problem-solving mindset
• Able to build a sense of trust and rapport that creates a comfortable and effective workplac

• Partner with stakeholders to understand business problems and design scalable solutions
• Apply statistical and machine learning methods to analyze large, complex data sets
• Identify and understand the necessary data sources for projects and efficient ways to clean and transform it
• Work with Global Technology to ensure that solutions are up to current standards and best practices
• Calculate and track the business value that solutions are generating
• Build presentations to clearly communicate project statuses and results
• Continuously learn and build new skills in data science, machine learning operations, and technologies and platforms

Qualifications:

• Bachelor’s degree and 4+ years of experience in Data Science
• Advanced degree in Data Science, Statistics, Information Technology, Computer Science, or a related discipline, a plus
• Deep understanding of high-performance ML algorithms (SVM’s, gradient boosted decision trees, deep neural networks, etc.)
• Deep understanding of statistical techniques, such as parameter estimation, hypothesis testing, and regression
• Advanced experience in Python, preferably with cloud deployment experience
• Experience in building models that have been deployed to production
• Experience using big data batch and streaming tools (Spark, AWS tools, Hadoop) a plus
• Experience leading projects and building relationships with stakeholders and cross-functional partners
• An understanding of how analytics solutions generate value for the business, as well as how to calculate and demonstrate this value
• Self-starter with high level of intellectual curiosity
• Strong analytical and hardworking problem-solving mindset
• Able to build a sense of trust and rapport that creates a comfortable and effective workplace

Additional Information:
McDonald’s is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel-good moments for everyone. McDonald’s provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact mcdhrbenefits@us.mcd.com. Reasonable accommodations will be determined on a case-by-case basis.
McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Nothing in this job posting or description should be construed as an offer or guarantee of employment.