Manager, Data Science
AB InBev GCC IndiaBengaluru, Republic Of India, IN16 days ago
Job descriptionManage, 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. 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 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. 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 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. 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 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.
Job Title : Senior Data Scientist – GBS Commercial
Location : Bangalore
Reporting to : Senior Manager – GBS Commercial
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
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 :
Collaboration & Stakeholder Management :
Process Improvement & Innovation :
Documentation & Reporting :
Support & Troubleshooting :
Preferred Skills & Technologies :
BUSINESS ENVIRONMENT
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Manager Data Science • Bengaluru, Republic Of India, IN
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