Data Scientist (IT Manager) – Commercial Data Science (Retail, Supply Chain & Marketing Data Science)

This role is an integral part of P&G's Data Science Team within the Information Technology (IT) department. The IT department leverages information and business knowledge to develop innovative solutions that transform the way P&G operates. Team Overview Join one of the most advanced IT organizations globally, where technology and innovation continuously reshape business operations. This role provides opportunities for continuous learning, growth, and the development of ownership and influencing skills across various business functions. About P&G IT Digital transformation is at the heart of P&G's accelerated growth strategy. P&G IT is deeply integrated into all critical business processes across 11+ global category units, driving value through Transformation, Simplification, and Innovation. The IT department includes teams focused on revolutionizing business processes in areas such as Digital GTM, Digital Manufacturing, Marketing Technology, Ecommerce, Data Sciences & Analytics, Data Solutions & Engineering, and Product Supply. Hear from the Functional Leader [here]! Commitment to Innovation You will be at the forefront of groundbreaking innovations, undertaking exciting assignments, leading initiatives, and taking ownership in dynamic workspaces that nurture new ideas. You'll receive comprehensive training to become a leader in your field, feeling encouraged, valued, purposeful, challenged, heard, and inspired. What We Offer Continuous Mentorship: Collaborate with passionate peers and receive formal training and day-to-day mentoring from your manager. Dynamic and Supportive Work Environment: We value every individual, support initiatives, and promote agility and work/life balance. Responsibilities Design research and analytical frameworks to leverage creative and analytical skills alongside business leadership. Collaborate across functional partners and senior management to achieve project objectives. Conduct research and analytics, including data source identification, processing, and model/algorithm development. Translate insights into actionable recommendations to drive business value. Utilize advanced technologies and analytic tools (Python, R, Scala, Spark, TensorFlow, Hadoop, KNIME, etc.) to uncover business insights from data. Innovate solutions for business problems and work with technology partners to implement scalable analytic solutions. Qualifications Role Requirements Bachelor's degree in a quantitative field (Operations Research, Computer Science, Engineering, Applied Math, Statistics, Physics, Analytics, etc.). Advanced courses in Business Analytics/Data Science/Data Analytics. 2+ years of experience with a proven track record in applying and scaling analytic techniques to deliver impactful insights. Strong written and verbal communication skills. Ability to balance multiple priorities. Excellent social skills, self-motivation, and a dynamic, can-do attitude. Strong interest in the intersection of business and technology. Proficiency in scientific computing: R, Python, C++, Java, Scala, etc. Preferred Qualifications Master's degree in a quantitative field or equivalent work experience. Experience in transforming business practices in CPG or related industries to develop new go-to-market models. Proficiency in Analytical Tools/Applications: Unix/Linux Big Data Ecosystem: Hadoop, Spark, MapReduce, SQL, HIVE High-Performance Parallel and Distributed Computing Deep Learning frameworks: Keras, TensorFlow Data Visualization Data Management Systems Business Intelligence tools: KNIME, Tableau, etc.

Digital transformation is at the heart of P&G's accelerated growth strategy. P&G IT is deeply integrated into all critical business processes across 11+ global category units, driving value through Transformation, Simplification, and Innovation. The IT department includes teams focused on revolutionizing business processes in areas such as Digital GTM, Digital Manufacturing, Marketing Technology, Ecommerce, Data Sciences & Analytics, Data Solutions & Engineering, and Product Supply.