Senior Data Scientist

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.

Do You Dream Big?

We Need You.

Job Description

Job Title : Senior Data Scientist

Reporting to : Senior Manager Analytics

1) Purpose of the role

Contributing to the Data Science efforts of AB InBevʼs global non-commercial analytics capability of Supply Chain 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.

2) Key tasks & accountabilities

Understand the business problem and translate that to an analytical problem; participate in the solution design process.

Working with Analytics Manager to create project plan, and design analytics roadmap.

Independently lead project delivery.

End to end development of AI / ML models.

Ability to communicate findings clearly to both technical and business stakeholders Should be able to quantify the impact, and continuously implement improvements.

Document every aspect of the project in standard ways.

3) Qualifications, Experience, Skills

Level of educational attainment required

B.Tech / BE / Masters in Statistics or Economics / econometrics, MBA

Previous work experience

Minimum 5 years of relevant experience.

Preferred industry exposure CPG, Consulting with 5+ 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 Supply Chain 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.

Technical Skills required

Hands-on experience in data manipulation using Excel, PostgreSQL, VScode, Cursor, GitHub

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.

Preferred skills : MLOps, Celery, Redis, AKS deployment

Other Skills required

Demonstrated leadership skills.

Passion for solving problems using data. Detail oriented, analytical and inquisitive.

And above all of this, an undying love for beer!

We dream big to create future with more cheer