Data Scientist(SCM) with PH.D

Data Scientist (SCM) with Ph.D

Join our Enterprise Supply Chain organization as a Data Scientist ? Digitization and Advanced Analytics in Bangalore. At 3M, you can apply your talents in bold ways that matter. This position offers an opportunity to transition from various environments into a rewarding 3M career.

Key Responsibilities

• Conduct a variety of data analytics such as predictive modeling, statistics, machine learning, data mining, and other data analysis techniques to extract insights from structured and unstructured data.
• Research and explore data sources, collaborating with data and systems experts to understand the data and its implications.
• Participate in projects related to machine learning, Generative AI, data mining, and computational statistics.
• Work independently to develop data solutions, breaking down and explaining complex algorithms.
• Deploy artificial intelligence methods including optimization, classification, LLMs, probabilistic reasoning, and neural networks to solve business problems and surface insights.
• Utilize various forecasting methods including time series, neural networks, and other non-linear methods.
• Implement relevant computational algorithms in software that support 3M business operations.
• Build strong working relationships and communicate effectively with other engineers and data scientists.

Requirements

• Master?s degree or higher in Data Science, Statistics, Computer Science, or Applied Mathematics from an accredited institution.
• Minimum two (2) years of advanced data analysis experience (e.g. predictive modeling, statistics, machine learning, data mining).
• Minimum one (1) year of experience in programming in Python and/or R.
• Minimum one (1) year of experience developing machine learning forecasts.
• Minimum one (1) year of experience in applied machine learning and algorithm development in a Supply Chain context.

Work Arrangements

• Location: Bangalore, Karnataka, India
• Type: Contract

Preferred Qualifications

• Ph.D. in Data Science, Statistics, Computer Science, or Applied Mathematics.
• Experience with machine learning tools including SVM, logistic regression, and random forest.
• Experience with big data and distributed computing platforms, such as Apache Spark.
• Experience with deep learning methods and applications.
• SQL experience.
• SAP experience.
• Experience in computer or scientific programming.
• Solid communication skills.