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 Title: Data Scientist

Location: Bangalore

Reporting to: Manager- Analytics/ Senior Manager-Analytics

1. PURPOSE OF THE ROLE

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

• Understand the business problem and translate that to an analytical problem; participate in the solution design process.
• Manage the full AI/ML lifecycle, including data preprocessing, feature engineering, model training, validation, deployment, and monitoring.
• Develop reusable and modular Python code adhering to OOP (Object-Oriented Programming) principles.
• Design, develop, and deploy machine learning models into production environments on Azure.
• Collaborate with data scientists, software engineers, and other stakeholders to meet business needs.
• Ability to communicate findings clearly to both technical and business stakeholders.

3. Qualifications, Experience, Skills

Level of educational attainment required (1 or more of the following)

• B. Tech /BE/ Masters in CS/IS/AI/ML.

Previous work experience required

• Minimum 3 years of relevant experience.

Technical skills required

Must Have

• Strong expertise in Python, SQL, and libraries such as Scikitlearn, Pandas, NumPy, and PyTorch or TensorFlow including advanced knowledge of OOP concepts.
• Exposure to AI/ML methodologies with a previous hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization using Python.
• Azure Tech Stack, Databricks, ML Flow in any cloud platform Airflow for orchestrating and automating workflows.
• Strong knowledge of feature engineering, model training, and validation techniques.
• MLOPS concepts and containerization tools like Docker.
• Experience with version control tools such as Git.
• Consistently display an intent for problem solving. Strong communication skills (vocal and written).
• Ability to effectively communicate and present information at various levels of an organization.
• Experience in model evaluation, A/B testing, and back testing methodologies.

Good To Have

• Preferred industry exposure in Manufacturing Domain.
• Product building experience.

Other Skills required

• Passion for solving problems using data.
• Detail oriented, analytical and inquisitive.
• Ability to learn on the go.
• Ability to work independently and with others.

We dream big to create future with more cheers!