Position Overview:

As a manufacturing company, Coca-Cola Company is continuously looking for ways to improve better accuracy in upstream (Demand) and downstream(Go-To-Market Outlet level) forecast. With this opportunity, we plan to evolve and develop new models add to current list of forecast models which will elevate our predictability to next level. We are looking for talent who are passionate about data modelling with a strong analytical mind and great business sense.

Function Related Activities/Key Responsibilities:

Data acquisition, requirement gathering

Data cleaning and establish the ETL process

Enhancement on existing forecast model by increasing the model output accuracy

Development of the new model which will allow us to change how we run our market execution

Education Requirements:

DegreeRelated Work Experience:

NAFunctional Skills:

We are keen to test out new approach feature engineering which might improve the way we do forecast including geo-spatial analytics, which will be including:

Python

Machine Learning

Data Wrangling and ETL

Geo-Spatial analytics skillset is a plus

Advanced level in SQL

Skills:

Data engineering, Machine leaning, Python, ETL, Statistic, SQL, communication

Our Purpose and Growth Culture:

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

Skills organization

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.