We planted our roots in St. Louis home back in 1894. Since then, we’ve expanded our manufacturing to 21 facilities across the United States and St. Louis has grown into what some would call a “hidden gem”. This “big city with a small-town feel” has everything you need and more— a rich culture with world-class schools and healthcare, an affordable cost of living and a neighborhood for every lifestyle. Hours from other major metro’s or minutes from a bustling downtown, serene parks and outdoors—join us in calling St. Louis home.
As a Statistician, you will apply complex predictive analytics using large data sets to support continuous improvement, decision-making, and operational effectiveness across the supply chain. You will develop and enhance statistical forecasting models for the manufacturing plants and customer accounts. Additionally, you will focus on improving forecast accuracy, reducing forecast bias, and increasing customer fulfillment.
Use a variety of statistical techniques to develop and improve predictive models.
Revise and enhance forecast models by analyzing predictions vs. actual demand patterns.
Investigate and implement innovative solutions to predict demand at multiple product and customer hierarchies.
Apply statistical, unsupervised/supervised learning, optimization, and visualization techniques in order to understand, describe, and predict patterns in data.
Automate data acquisition, preparation, modeling, and visualization in order to streamline and simplify data science operations/process.
Help business partners identify opportunities and problems that can be address through data science solutions.
Combine various data inputs (shipment, order, POS, and promotional data) from external sources (sales, marketing, ops planning, customer facing, etc.) to predict customer demand.
Preforms all other duties as assigned.
Master’s Degree in a quantitative field (statistics, analytics, mathematics, or related field) and +1 year experience solving business problems with advanced quantitative analysis and application of scientific method/thinking.
Doctorate in a quantitative field (statistics, analytics, mathematics, or related field).
1+ years of experience with SAS, R, Python or similar programming language.
It is our business imperative to remain a very inclusive workplace.
To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you’ll join a cohort of others who have chosen to call Nestlé home.
The Nestlé Companies are an equal employment opportunity and affirmative action employer seeking diversity in qualified applicants for employment. All applicants will receive consideration for employment without regard to race, ethnicity, color, gender, gender identity, age, religion, national origin, ancestry, disability, perceived disability, medical condition, genetic information, veteran status, sexual orientation, or any other protected status, as defined by applicable law.
Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at [Register to View] style="color:#0563c1; text-decoration:underline;">[Register to View] please dial 711 and provide this number to the operator: 1-[Register to View] .
The Nestlé Companies are an equal employment opportunity and affirmative action employer seeking diversity in qualified applicants for employment. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.Job: Data Scientist Primary Location: Saint Louis, MO US Other Location: Career Area: Professional Nestle Purina PetCare Company https://nestleusa.taleo.net/careersection/9/jobdetail.ftl?lang=en&job=21002827