Data Science Senior Analyst

Overview We are PepsiCoPepsiCo is one of the world s leading food and beverage companies with more than 79 Billion in Net Revenue and a global portfolio of diverse and beloved brands We have a complementary food and beverage portfolio that includes 22 brands that each generate more than 1 Billion in annual retail sales PepsiCo s products are sold in more than 200 countries and territories around the world PepsiCo s strength is its people We are over 250 000 game changers mountain movers and history makers located around the world and united by a shared set of values and goals We believe that acting ethically and responsibly is not only the right thing to do but also the right thing to do for our business At PepsiCo we aim to deliver top-tier financial performance over the long term by integrating sustainability into our business strategy leaving a positive imprint on society and the environment We call this Winning with Pep positive For more information on PepsiCo and the opportunities it holds visit Data Science Senior Analyst Data Science Team works in developing Machine Learning ML and Artificial Intelligence AI projects Specific scope of this role is to develop ML solution in support of ML AI projects using big analytics toolsets in a CI CD environment Analytics toolsets may include DS tools Spark Databricks and other technologies offered by Microsoft Azure or open-source toolsets This role will also help automate the end-to-end cycle with Azure Machine Learning Services and Pipelines You will be part of a collaborative interdisciplinary team around data where you will be responsible of our continuous delivery of statistical ML models You will work closely with process owners product owners and final business users This will provide you the correct visibility and understanding of criticality of your developments Responsibilities Delivery of key Advanced Analytics Data Science projects within time and budget particularly around DevOps MLOps and Machine Learning models in scope Active contributor to code development in projects and services Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption Partner with ML engineers working on industrialization Communicate with business stakeholders in the process of service design training and knowledge transfer Support large-scale experimentation and build data-driven models Leverage big data technologies to help process data and build scaled data pipelines batch to real time Implement end-to-end ML lifecycle with Azure Machine Learning and Azure Pipelines Qualifications BE B Tech in Computer Science Maths technical fields Overall 9 years of experience working as a Data Scientist 6 years experience building solutions in the commercial or in the supply chain space 6 years working in a team to deliver production level analytic solutions Fluent in git version control Understanding of Jenkins Docker are a plus Fluent in SQL syntaxis 6 years experience in Statistical ML techniques to solve supervised regression classification and unsupervised problems 6 years experience in developing business problem related statistical ML modeling with industry tools with primary focus on Python and Pyspark development Experience executing and contributing to ML OPS automation infrastructure is good to have Exceptional analytical and problem-solving skills Experience in DevOps hands-on experience with one or more cloud service providers AWS GCP Azure preferred