Sr 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.

Job Description

Job Title: Senior Data Scientist GBS Commercial

Location: Bangalore

Reporting to: Senior Manager – GBS Commercial

1. PURPOSE OF ROLE

We are seeking an experienced Senior Data Scientist and People Manager to lead the development of data-driven products and analytical solutions supporting our sales and business operations. This role is critical in designing, building, and scaling robust data science and machine learning solutions that directly impact business outcomes. The ideal candidate will combine deep technical expertise with proven people management skills and a track record of building, mentoring, and leading high-performing teams

2. KEY TASKS AND ACCOUNTABILITIES

Data Science & Product Leadership:

• Lead the end-to-end design, development, and deployment of data products, predictive models, and analytics solutions tailored to business needs.
• Drive the roadmap for data science initiatives, from ideation through to production and ongoing enhancement.
• Collaborate with engineering and product teams to integrate machine learning models and analytics into scalable products.

People Management & Team Development:

• Manage, mentor, and develop a team of data scientists, analysts, and engineers, fostering a high-performance, inclusive culture.
• Oversee performance management, career development, and upskilling initiatives within the team.
• Set clear objectives, provide constructive feedback, and guide team members towards excellence.

Collaboration & Stakeholder Management:

• Work closely with stakeholders across different teams to understand business requirements and translate them into scalable technical solutions.
• Engage with end users to gather feedback, iterate on features, and improve application usability.
• Provide training, support, and troubleshooting to ensure smooth adoption and usage of applications.
• Partner closely with cross-functional stakeholders (Sales, Marketing, IT, Operations) to understand business requirements and translate them into actionable analytics and product solutions.
• Present insights and recommendations to senior leadership, enabling data-driven decision making

Process Improvement & Innovation:

• Continuously monitor application performance, identify bottlenecks, and implement optimizations for better efficiency and scalability.
• Propose new features and enhancements to improve user experience and streamline business processes.

Documentation & Reporting:

• Maintain comprehensive technical documentation, including data/model pipelines, architecture diagrams, and user guides.
• Develop and share reports, dashboards, and presentations that communicate business impact and technical findings

Support & Troubleshooting:

• Provide ongoing technical support for deployed solutions, including debugging, performance tuning, and version control.
• Ensure system stability, security, and compliance with relevant data governance standards.

Preferred Skills & Technologies:

• Programming: Python (Pandas, scikit-learn, PySpark), SQL
• Machine Learning: End-to-end ML model development & deployment
• Data Engineering: ETL pipelines, data modeling, Spark/Airflow (preferred)
• API/Product Development: Flask/FastAPI, integration with business applications
• Cloud & DevOps: AWS/Azure/GCP, Docker, CI/CD (GitHub Actions, Jenkins)
• Databases: PostgreSQL, MySQL, NoSQL (desirable)
• Version Control: Git, collaborative workflows
• Visualization: Power BI, Tableau, or similar (preferred)
• Storytelling with Data: Ability to convey insights through impactful data visualizations and clear narratives
• Good to have: Experience with LLMs, GenAI, or agent frameworks

3. BUSINESS ENVIRONMENT

• Cross-Functional Collaboration:

• Work with internal stakeholders across all business zones, including sales, marketing, IT, and operations, to understand requirements and ensure solutions are aligned with business goals.

• Stakeholder Management:

• Develop strong relationships with stakeholders and become a trusted advisor on all matters related to Power Apps and Power Pages.

• Must have excellent communication skills to handle multiple priorities and stakeholders effectively.

• Proactiveness & Adaptability:

• Strong sense of initiative and the ability to work independently while being proactive in identifying and addressing potential issues or improvements.

• Demonstrates adaptability to changes in business needs and technological advancements.

• Key Dimensions and Contacts:

• In-Country Tech Sale teams

• CoE Zone/GCC Teams

• GCC Tech Sales Team.

• Relevant Business Units

• Geographical Scope: Sales operations teams in GCC, AFR & Europe (North, South & West)

• Number of Direct Reports: ~5

4. QUALIFICATIONS, EXPERIENCE, SKILLS

Please list the following requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or related field.
• Minimum 8 years of hands-on experience in data science or analytics roles.
• At least 4–5 years of experience in managing and developing technical teams.
• Proven experience in building and deploying end-to-end data products and machine learning solutions.
• Strong proficiency in Python (Pandas, scikit-learn, PySpark, TensorFlow/PyTorch).
• Solid experience with SQL and data modeling.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps best practices.
• Experience with data visualization (Power BI, Tableau, or similar)
• Good to have - Familiarity with data engineering tools (Airflow, DBT, Spark, ETL pipelines).

5. COMPETENCIES

Please list the technical competencies for optimal performance. Differentiate between essential, desirable, and less relevant technical competencies.

Behavioral Competencies:

• Strong Analytical skills to interpret the data.
• Beer Industry business acumen
• Ability to work under pressure, assertive and go-getter attitude.
• Ability to translate complex data insights into clear, compelling narratives for diverse audiences
• Comfortable with large amounts of data.
• Highly results-focused.
• Organized and timeline-focused.
• Resiliency and agility.
• Ability to manage conformity to established procedures & processes.

Interpersonal Expertise:

• Effective stakeholder management
• Ability to work with highly sensitive and confidential information.
• Ability to be flexible with the scope of work.
• Pro-activity in following up.
• Pro-activity in raising risks with project delivery.
• Ability to be flexible with the scope of work.
• Ability to work independently with minimal support.
• Ability to learn quickly without step-by-step guidance.
• Fast learner with minimal supervision