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Strong employer brand and metro location increase applicant interest but specialized ML requirements moderate competition.
Advanced ML/statistics and degree requirements make skills moderately industry-specific but still transferable across sectors.
Explicit 2+ years, master's/PhD, and specific ML/tool requirements create strict screening filters.
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Apply advanced analytics, machine learning, and data science techniques to solve real-world business challenges at P&G.
Develop and write solid code using scripting languages like Python and frameworks such as Spark and pandas to manage and analyze data.
Collaborate within a team to transform customer and consumer experiences through data-driven insights and solutions.
Master’s degree or PhD in quantitative/computational fields like Operations Research, Computer Science, Engineering, Applied Math, Statistics, Analytics, Data Science, Life Science, or Physics.
2+ years of experience using scripting languages (e.g., Python) and/or statistical/mathematical software (e.g., R, SAS, Matlab).
Fluency in English, both written and oral.
Work Experience Required: 2+ years explicitly mentioned.
Has strong expertise in statistics, machine learning, optimization, and advanced analytical models and is enthusiastic about applying these to real-world problems.
Comfortable coding and data manipulation using Python, Spark, pandas, SQL, and interested in continuous learning new technologies.
Operates independently with strong communication skills and prefers a collaborative team approach to data science challenges.