Data Scientist at AB InBev

Short Description:

We are seeking a Data Scientist to join AB InBev GCC in Bangalore, where you will be instrumental in developing and managing machine learning models aligned with business needs. As a key player in cross-functional initiatives, you will take end-to-end ownership, enhancing capabilities and driving efficiency. Effective communication and collaboration with senior leadership are crucial, as is the ability to correlate ML models with tangible business outcomes. The role involves hands-on work with BI/Data Engineering teams, implementing deep learning models, and optimizing solutions using various ML and statistical algorithms. Ideal candidates possess a minimum of a bachelor's degree, 3+ years of relevant experience, and proficiency in tools like MS SQL, Python/R, Power BI, and MLOps concepts.

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Position: Data Scientist 

Location: Bengaluru 

Reporting to: Senior Program Manager

About Us: Established in 2014, AB InBev GCC serves as a strategic partner for Anheuser-Busch InBev, employing data and analytics to drive growth across critical business functions such as operations, finance, people, and technology. Our teams are dedicated to transforming operations through the application of technology and analytics.

Role Overview: As a Data Scientist, you will play a pivotal role in managing, developing, and constructing machine learning (ML) models aligned with business requirements. This position necessitates a comprehensive understanding of the business to correlate ML models with tangible business outcomes. You will work cross-functionally, leading complex projects to enhance capabilities, taking end-to-end ownership, and identifying opportunities for efficiency improvement and enhanced customer experience.

Key Responsibilities:

1. Purpose of Role:

   • Develop ML models in line with business requirements.
   • Correlate ML models with business outcomes.
   • Drive cross-functional projects to enhance capabilities.
   • Take end-to-end ownership of the capability.
   • Enhance customer experience through innovative solutions.
   • Communicate effectively and independently lead discussions with senior leadership.

2. Key Tasks and Accountabilities:

   • Understand business requirements and build ML models predicting risky transactions/vendors.
   • Collaborate with the BI/Data Engineering team on datasets and implement deep learning models.
   • Conduct business reviews to identify parameters for robust ML models.
   • Propose enhancements to learning algorithms.
   • Clearly communicate and correlate business decisions with ML model output.
   • Code for data extraction, transportation, and wrangling activities using various tools.
   • Document data architecture, lineage, application control orchestration, and ML models.
   • Implement best-in-class solutions by optimizing ML and statistical algorithms.
   • Apply MLOps concepts; knowledge of productionizing machine learning models is essential.
   • Evaluate models and intervention strategies; present results to stakeholders.

3. Qualifications, Experience, Skills:

   • Qualifications:

     • Minimum bachelor's degree in Computer Science or related fields.
     • Master’s degree preferred.

   • Experience:

     • Ideal candidate with 3+ years of experience collaborating with global teams, support personnel, contractors/consultants, external vendors, and internal company management.

   • Language Skills:

     • Strong verbal and non-verbal communication skills.
     • Proficient in presenting project information to diverse audiences.
     • Experience presenting and making recommendations to senior management.

   • IT Skills:

     • Proficient in MS SQL Server, MySQL, Analysis Services, and similar platforms.
     • Strong proficiency in Python/R, SQL, ML algorithms, statistics, and exposure to MLOps.
     • Intermediate in SQL development, supporting Data and Analytics in database design and analysis activities.
     • Familiarity with version control software (preferably GIT) and project management software (preferably Azure VSTS).
     • Exposure to data modeling and query performance tuning on various platforms.
     • Good to have: Azure Data Bricks and Azure Delta Lake.

Join us in shaping the future through data-driven insights and innovations.

Please click here to apply.