Contributing to the Data Science efforts of AB InBevs global commercial analytics capability of Pricing Analytics
Candidate will be required to contribute and may also need to guide the DS team staffed on the area and assess the efforts required to scale and standardize the use of Data Science across multiple ABI markets
Key Tasks & Accountabilities
Preferred industry exposure CPG, Consulting with 3+ years (in case of consulting the typical profile would be of a Lead consultant with relevant experience mentioned in the point below)
Experience of working in the domain of Pricing Analytics Analytics preferred (assessment of the pillars to be made on the past companies of the candidate) preferably in a CPG organization with a demonstrated capability of successfully deploying analytics solutions and products for internal or external clients, Has interacted with Senior internal or external stakeholders around project/ service conceptualization and plan of delivery, Exposure to AI/ML methodologies with a previous hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization, deep learning, Product building experience would be a plus, Has experience of working on data manipulation using tools such as excel, Python, SQL, Strong proficiency in Object-Oriented Programming (OOP) principles and design patterns, Good understanding of data structures and algorithms as they relate to machine learning tasks, Experience with version control tools such as Git, Familiarity with MLOPS and containerization tools like Docker would be plus, Consistently display an intent for problem solving
Qualifications, Experience, Skills
Level of educational attainment required
Tech/BE/ Masters in Statistics or Economics/ econometrics, MBA
Previous Work Experience Required
Minimum 3 years of relevant experience, Technical Skills Required
Hands-on experience in data manipulation using Excel, Python, SQL, Expert level proficiency in Python(knowledge of writing end-to-end ML or data pipelines in python)
Proficient in application of ML concepts and optimization techniques to solve end-to-end business problems, Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform, Other Skills Required
Passion for solving problems using data
Detail oriented, analytical and inquisitive
Ability to learn on the go
Ability to effectively communicate and present information at various levels of an organization
Ability to work independently and with others
And above all of this, an undying love for beer!
We dream big to create future with more cheers

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