McDonald's
Data Scientist
McDonald's, Chicago, Illinois, United States, 60290
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 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 DescriptionMcDonald’s is looking for a talented Analytics professional to join our growing Data Science and Analytics organization. This role will interact with both the central corporate headquarters as well as the various regional and global offices.
We are looking to hire a Data Scientist who is passionate about generating business value through advanced analytics. This role will include building predictive models and other analytics solutions and will also include a component of managing projects and building relationships with stakeholders and partners. A successful Data Scientist will be a thought leader with the ability to design optimal solutions for business problems and clearly communicate and translate technical concepts to stakeholders. The position requires someone that seeks to supplement their skills using project experience, self-study, and ongoing training.
Role and Responsibilities:Partner with business teams to understand the problems and design scalable solutionsApply statistical and machine learning methods to analyze large, complex data setsIdentify and understand the necessary data sources for projects and efficient ways to clean and transform itWork with Global Technology to ensure that solutions are up to current standards and best practicesCalculate and track the business value that solutions are generatingBuild presentations to clearly communicate project statuses and resultsContinuously learn and build new skills in data science, machine learning operations, and technologies and platforms
QualificationsBachelor’s degree and 6+ years of experience in Data ScienceAdvanced degree in Data Science, Statistics, Information Technology, Computer Science, or a related discipline a plusExperience in supply chain or operations research a plusDeep 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 regressionAdvanced experience in Python/R/SQL, preferably with cloud deployment experienceExperience leading projects and forming partnershipsAn understanding of how analytics solutions generate value for the business and how to calculate and demonstrate this valueExperience in building models that have been deployed to production a plusExperience using big data batch and streaming tools (Spark, AWS tools, Hadoop) a plusSelf-starter with high level of intellectual curiosityStrong analytical and hardworking problem-solving mindsetAble to build a sense of trust and rapport that creates a comfortable and effective workplace
Additional InformationMcDonald’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.
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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 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 DescriptionMcDonald’s is looking for a talented Analytics professional to join our growing Data Science and Analytics organization. This role will interact with both the central corporate headquarters as well as the various regional and global offices.
We are looking to hire a Data Scientist who is passionate about generating business value through advanced analytics. This role will include building predictive models and other analytics solutions and will also include a component of managing projects and building relationships with stakeholders and partners. A successful Data Scientist will be a thought leader with the ability to design optimal solutions for business problems and clearly communicate and translate technical concepts to stakeholders. The position requires someone that seeks to supplement their skills using project experience, self-study, and ongoing training.
Role and Responsibilities:Partner with business teams to understand the problems and design scalable solutionsApply statistical and machine learning methods to analyze large, complex data setsIdentify and understand the necessary data sources for projects and efficient ways to clean and transform itWork with Global Technology to ensure that solutions are up to current standards and best practicesCalculate and track the business value that solutions are generatingBuild presentations to clearly communicate project statuses and resultsContinuously learn and build new skills in data science, machine learning operations, and technologies and platforms
QualificationsBachelor’s degree and 6+ years of experience in Data ScienceAdvanced degree in Data Science, Statistics, Information Technology, Computer Science, or a related discipline a plusExperience in supply chain or operations research a plusDeep 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 regressionAdvanced experience in Python/R/SQL, preferably with cloud deployment experienceExperience leading projects and forming partnershipsAn understanding of how analytics solutions generate value for the business and how to calculate and demonstrate this valueExperience in building models that have been deployed to production a plusExperience using big data batch and streaming tools (Spark, AWS tools, Hadoop) a plusSelf-starter with high level of intellectual curiosityStrong analytical and hardworking problem-solving mindsetAble to build a sense of trust and rapport that creates a comfortable and effective workplace
Additional InformationMcDonald’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.
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