Komatsu is an indispensable partner to the construction, mining, forestry, forklift, and industrial machinery markets, maximizing value for customers through innovative solutions. With a diverse line of products supported by our advanced IoT technologies, regional distribution channels, and a global service network, we tap into the power of data and technology to enhance safety and productivity while optimizing performance. Komatsu supports a myriad of markets, including housing, infrastructure, water, pipeline, minerals, automobile, aerospace, electronics and medical, through its many brands and subsidiaries, including TimberPro, Joy, P&H, Montabert, Modular Mining Systems, Hensley Industries, NTC, and Gigaphoton.

Job Overview

The internship will be based in our Warrendale, PA office. Interested candidates in computer data science and machine learning programs are welcome to apply. During the internship you will be part of the global team that is responsible for developing and researching machine learning and data analytics.v

Key Job Responsibilities

As a data scientist you will specialize and contribute to the development of analytics for products that operate globally. You will get exposure to work with live datasets that are hosted in our secure Cloud platform and apply your knowledge to solving real-world problems. Focus will be on the design, implement and evaluate the use of analytic algorithms on these large datasets.

Key skills that you will further develop during your internship with us are  (i) machine learning with large data sets, (ii) text mining, (iii) applying statistical techniques and (iv) developing graphical models.

Qualifications/Requirements

Pursuing a Graduate or Postdoctoral degree in Computational Data Science, Computer Science, Machine Learning or Artificial Intelligence 

Proven strengths in data science and analytics development with large datasets 

Additional Information

Komatsu is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.