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Lead Data Scientist

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Location: Chicago, IL, United States
Date Posted: Jun 30, 2020

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Job Description

Description

 

The Cat® Digital group is the digital and technology arm of Caterpillar Inc., responsible for bringing world class capabilities to our products and services. With almost one million connected assets worldwide, we're focused on using IoT and other data, advanced analytics, and ML/AI capabilities to help our customers build a better world. To accomplish this, we’re deploying analytics that generate insights, recommend optimized decisions, and improve products by intelligently integrating massive quantities of telematics information, transactional records, images, unstructured documents, and other data sources. 

 

Cat Digital’s IoT Analytics team is looking for a talented and motivated Lead Data Scientist to develop and deliver ML/AI-based analytics models to support condition monitoring for customers and dealers, as well as improve product development for the enterprise. As a Lead Data Scientist, you will use machine learning, deep learning, neural networks, and other analytics techniques on time-series machine sensor data and other datasets to better understand data patterns, identify device health anomalies, predict equipment failure modes, etc.

The Lead Data Scientist is recognized as a technical leader within the company and is becoming recognized outside the company for their analytics expertise.  Approximately 75% of this role focuses on direct execution as an expert technical contributor, with 25% consisting of coaching and mentoring junior data scientists and giving technical leadership to multiple concurrent projects. The incumbent will be expected to frame problems, identify/create/explore alternatives, and formulate/negotiate/develop/validate solutions. He/she must be a fast learner and possess excellent communication skills to effectively collaborate with diverse teams (including other data scientists, product design/simulation experts, software/application developers, condition monitoring analysts) to develop analytics algorithms that deliver customer value on complex IoT systems. Decisions may affect the project or program team, the division or business unit, internal and external customers and the market, and may require justification to upper management.

Example projects include:

·         Applying machine learning to timeseries datasets to classify machine failure modes

·         Improving machine health monitoring capability via digital twin development

·         Developing new anomaly detection schemes

·         Exploring new analytic techniques to improve issue detection accuracy and reduce false positives

Qualifications

BASIC QUALIFICATIONS:  

 ·         Ph.D. degree in a quantitative discipline such as mathematics, data science, statistics, operations research, econometrics, finance, computer science, or in mathematical areas of physics, electrical and mechanical engineering

·         2 plus years of work experience or equivalent (e.g. post-doc) developing and deploying advanced algorithms on large data sets (focus on time series analysis strongly preferred)

·         Demonstrated strong expertise in Machine Learning/AI and their application to data modeling and analysis, conversant with the latest academic developments in this field

 


 

TOP CANDIDATE WILL ALSO HAVE 

·    Excellent presentation and communication skills

·         Publications in the field of ML/AI

·         Demonstrated capability to take initiative and lead in the presence of ambiguity to deliver innovative solutions

·         Strategic thinking capability to develop and communicate a clear and compelling vision for analytics

 

ADDITIONAL DESIRED QUALIFICATIONS:

 

·         Strong python programming skills

·         Experience building or working with popular cloud data and analytics platforms (AWS, Azure, etc.)

·         Experience operating in Agile environment

·         Experience working with software developers

·         Experience with physical/engineering system modeling/simulation

·    Experience developing IoT timeseries analytics algorithms 



Relocation assistance is available for this position.


EEO/AA Employer. All qualified individuals - including minorities, females, veterans and individuals with disabilities - are encouraged to apply.


This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as H, L, TN, F, J, E, O.  As a global company, Caterpillar offers many job opportunities outside of the U.S. which can be found through our employment website at www.caterpillar.com/careers

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Job Info

Jun 30, 2020

200002PN

United States