Job Description

Purpose of the Role At Yum! Were looking for a Data Scientist I/ II to add to our dynamic and rapidly scaling team. Wed want you to be part of our mission to optimize our digital channels and technology innovations with the end goal of creating competitive advantages for our restaurants around the globe and other engagements. We’re looking for a solid analytics professional who brings fresh ideas from experience and is eager to tackle new challenges in our company. Candidates must be proficient with data programming languages (e.g., Python and SQL). Candidate should have a consulting or service mindset and be open to working in long term or short-term projects with different teams depending on business needs. The role demands the candidate to work hands on alongside some mentoring responsibilities. They will be leading an engagement and will play a pivotal role in solving business problems by translating them into analytical frameworks and solving it using combination of data science, technology, and domain knowledge. They will also be responsible for mentoring and managing their team and overall delivery ownership. They should also have excellent communication skills and proven experience of presenting to stakeholders. Responsibilities As a Data Scientist- I/ II , you will: Analyze data and generate analytical outputs to deliver insights, evaluate the hypothesis and complete root cause analysis of the business problem. Should have strong analytical skillset to design end to end solution leveraging the latest machine learning (ML) techniques, including data preparation, exploratory data analysis, feature engineering, model selection, model development, model evaluation, cross-validation, and deployment Effectively present the analytics approach and insights to a larger business audience. Solve business problems which involves: Brainstorm with clients and internal teams to define a problem Translate the business problem into an analytical problem Identify internal and external data requirements for solving the analytical problem Solving the analytical problem using concepts from mathematics, statistics, Artificial Intelligence and Machine learning Create, maintain and enhance artefacts that can help communicate the solution to clients like dashboards, power point decks, excel sheets etc. Mentor team and handle day to day project deliverables and timeline. Minimum Requirements: Bachelor’s degree / master’s degree in engineering, quantitative field such as statistics, business analytics or equivalent past work experience 4-6 years of experience in data science, leading teams, building hands-on Analytical models Advanced SQL skills, excellent programming skills in Python. Strong working knowledge of Python’s numerical, data analysis, or AI frameworks. Hands-on experience working with regression, clustering, decision trees and related models. Ability to use data and metrics to back up assumptions, evaluate the hypothesis and complete root cause analysis of the business problem. Experience in integrating business analysis with technical solutions that involve advanced analytics solutions, demand forecasting, segmentation, churn prediction, predictive maintenance, and route optimization, etc.