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Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? 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: Manager – Data Scientist – Trade Marketing Location: Bangalore Reporting to: Trade Marketing Manager Purpose of the role Use statistical and mathematical techniques to measure the impact of Promotions, Trade Programs, or Activations through Tests. Maintain python programming codes for the model which runs Test vs Control methodology Conduct exploratory studies to identify opportunities to increase ROI for future promotions. Optimize Sales package – Check spends Enhance, maintain python codes for the model which runs Test vs Control Strategy Design and deploy mathematical models to create Store level target lists to implement optimal ROI promotions in the future. Build recommendation models. Add features on top of the model to create robust algorithm. Communicate analysis results to business stakeholders through intuitive Power BI solutions. Setting framework for analysis based on Business Objective, thorough with Business level presentations. Build new AI & DS Products, Projects and effective Business Presentations and contribute to Business Target Achievements. Key tasks & accountabilities Expertise on Python to prepare & update algorithm. Developing business-friendly presentations, transforming thoughts into key actions for business and showing the model to justify recommendations. Expertise on Power BI to produce dashboards. Understanding of SQL to connect Power BI to Datalake & create automated outputs/Dashboards. Understanding the business problem and translating it into an analytical problem. Ability to solve problem quickly and effectively applying logical thinking and creative mindset. Handling large data sets to connect data points and provide insights that drive business. Be assertive and goal oriented and drive results with minimal support. Excellent excel, Power point and basic VBA, SQL skillset to convert unstructured data into structured format which optimizes time spent on data handling. Exposure to AI/ML methodologies with a previous hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization, deep learning Product building experience would be a plus. Interact with and present to Senior internal or external stakeholders around project/ service conceptualization and plan of delivery. Ability to work in collaboration with multiple teams within CP&A tower Develop deeper understanding related to different concepts of Category Management. Plan and implement different projects with multiple teams in Category Management. BUSINESS ENVIRONMENT Delivering insights and provocation as per timelines given Following processes and adhering to documentation goals High quality presentations Questions from business stakeholders answered satisfactorily within agreeable time Coming up with provocation, proposing what if or next level Challenges: Primary challenges include various sources of data, incomplete data which can throw off the analysis. Outliers to be removed and data to be cleaned before analysing and presenting to stake holders. 3. Qualifications, Experience, Skills Level Of Educational Attainment Required Master Graduate in the field of Business & Marketing, Engineering/Solution or other equivalent degree or equivalent work experience MBA/Engg. in a relevant technical field such as Marketing Previous Work Experience Required 2-3 and up years’ experience handling Data science Projects Prior experience in managing multiple files, data cleaning, and maintaining data in structured formats Technical Skills Required Proficient in Python, Power BI, SQL, VBA, Advanced Excel, MS PowerPoint, Power Apps Expert level proficiency in Python(knowledge of writing end-to-end ML or data pipelines in python) Proficient in application of AI & ML concepts and optimization techniques to solve end-to-end business problems Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform Good understanding of Statistical and Mathematical concepts And above all of this, an undying love for beer! We dream big to create future with more cheers . Show more Show less
