Data Scientist

Job Description

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: Data Scientist ? Predictive Forecasting Location: Bangalore Reporting to: Senior Manager Analytics 1) Purpose of the role We are seeking a talented Data Scientist specializing in Statistical modelling, Predictive modelling, Time Series Forecasting to join our dynamic analytics team. The ideal candidate will have a strong background in statistical modeling and machine learning, with a focus on time series analysis. You will be responsible for developing predictive models for Business Cycles and Monthly Performance Monitoring, generating actionable insights from Forecasts, and driving business value through data-driven decision-making. 2) Key tasks & accountabilities Develop and Implement Models: Design and implement and Maintain time series forecasting models to predict key business metrics. Utilize advanced statistical techniques and machine learning algorithms to improve model accuracy. Data Analysis and Insight Generation: Analyze large and complex datasets to identify trends, patterns, and anomalies. Generate actionable insights that inform business strategies and operational improvements. Collaborate with Cross-Functional Teams: Work closely with deployment and development data scientists, and other stakeholders to understand business needs. Communicate Findings: Present analysis results and insights to stakeholders in a clear and concise manner. Prepare reports, visualizations, and dashboards to communicate data findings. Continuous Improvement: Monitor model performance and implement enhancements as necessary. Stay updated with the latest developments in data science, machine learning, and time series forecasting. 3) Qualifications, Experience, Skills Level of educational attainment required. Bachelor?s or master?s degree in data science, Statistics, Mathematics, Computer Science, or a related field. Previous work experience Minimum of 2 years of experience in data science or a related role. Proven experience with time series analysis and forecasting techniques is a plus Technical Skills required Python (Data Structures, Control Flow, OOPs, Modules and Packages, Exception Handling, VENV) MLOPs Fundamentals (Model Development, VCS, CI, CD, Serving, Monitoring & Logging, Registry, Data and Model Lineage) Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow is a plus). Familiarity with data visualization tools (e.g., Power BI, matplotlib, plotly, streamlet). Data Analysis Tools - Pandas, Excel (Pivot Tables, Charts, Macros, Conditional Formatting, Shortcuts) Insights presentation - PowerPoint Version Control System (Git) - Basic Commands, Branching and Merging, Pull Requests & Code Reviews Other Skills required Excellent problem-solving and analytical skills. Strong communication and presentation abilities. Ability to work collaboratively in a team environment. And above all of this, an undying love for beer! We dream big to create future with more cheers.