Lead Data Scientist; Cat Digital

Position: Lead Data Scientist (Cat Digital)
** Career Area:
** Technology, Digital and Data
*
* Job Description:

**** Your Work Shapes the World at Caterpillar Inc.
** When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other.  We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live.

Together, we are building a better world, so we can all enjoy living in it.
* Cat Digital is the digital and technology arm of Caterpillar Inc., responsible for bringing world class digital capabilities to our products and services. With almost one million connected assets worldwide, we're focused on using IoT and other data, technology, advanced analytics and AI capabilities to help our customers build a better world.
**
* Job Summary:

** Cat Digital’s Platform Algorithms team is looking for a talented and motived Lead Data Scientist that will help improve platform data by developing and delivering ML/AI models to address the most challenging data issues.  As a Lead Data Scientist, you will apply machine learning and other analytics techniques on a very large set of diverse data from IoT connected assets, our integrated network of dealers and enterprise data.
*
* What You Will Do:

*** Experience leading projects and teams to completion. Mentor and provide guidance to other team members.
* Leading, exploring, developing, promoting, and implementing various projects focused Machine Learning.
* Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.
* Interacting and collaborating with the Analytics management team, with the team members and colleagues outside the organization, including outside Cat Digital.
* Reporting and presenting team results.
** What

You Will Have:

**
* ** Machine Learning:
** Extensive knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
* ** Analytical Thinking:
** Extensive knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
* ** Business Statistics:
** Extensive knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
** Considerations for Top Candidates:
*** Advanced degree in a discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, or other related degree
* Extensive experience in predictive analytics. Building and implementing machine learning models
* Advance experience programming in Python and SQL
* Experience with AWS products such as Sagemake, RDS, EC2, S3
** Additional Information:
** This position will have the option to be based out of our Chicago, IL or Peoria, IL offices.#LI#BI (used to post on Built In Chicago)
** What You Will Get:
** Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We’ve created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. Join Us.
** About Caterpillar
** Caterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we’ve been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed.###

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** Summary Pay Range:**$ - $Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and…