Data Scientist II, eCommerce Analytics

Career Area:Business Technologies, Digital and DataJob 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., leveraging the latest technologies to build industry leading digital and analytics solutions for our customers and dealers. 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.Job Summary:As a Data Scientist II in the aftermarket analytics team of Cat Digital, you will be tasked with enabling services growth by collaborating with other Cat Digital and business teams to maximize the value extraction of our digital products and services. With over 1.5M connected assets worldwide, our business and in the industries, we serve, data is generated continuously by Cat® equipment using the latest technology, advanced analytics, telematics and AI capabilities to help our customers build a better world.What You Will Do:In this position, you'll leverage your existing expertise in data cleaning, analysis, and modeling to tackle complex problems. This role offers a perfect blend of independent work and collaboration. You'll have the autonomy to lead specific aspects of projects while also working alongside senior team members to tackle larger challenges. We provide mentorship opportunities to help you stay current on the latest advancements in data science and refine your expertise. This individual will develop good networks within the technical community to enable technical solutions, obtain resources and cooperation needed, and remove roadblocks so that they can ensure the success of their team.

Utilize various data science methods, such as machine learning, statistical modeling, and causal inference, to gain insights into customer behavior, optimize and personalize digital experiences, and generate measurable business value

Coach and mentor more junior Data Scientists in the creation, validation, and application of data science methods

Demonstrate thorough knowledge of Caterpillar Inc., its products and services, internal systems, processes, and procedures, and relevant external influences (competitors, laws and regulations, market conditions, etc.) to meet or exceed customer expectations.

Demonstrate strong initiative to research and apply new methods to exceed customer expectations.

Have a strong focus on continual learning in the Analytics field

Possess thorough statistical and digital technology knowledge and the ability to solve low to medium-complexity problems.

Have excellent communication skills, able to explain conclusions to customers with limited knowledge and experience with quantitative analytical methods.

What You Will Have:

Analytical Thinking: Extensive ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems; Knowledge of techniques and tools that promote effective analysis.

Data Cleaning, Analysis, and Preparation: Working knowledge in conducting exploratory data analysis to extract meaningful patterns, trends, and insights from complex datasets, including data mining and cleaning initiatives and writing, debugging and implementing queries involving multiple tables or databases.

Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Experience completing specific tasks and initiatives utilizing machine learning technologies, such as classification, regression, or optimization and specific tools and techniques to process descriptive and inferential statistics.

Programming Languages: Experience and fluency with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)

Collaboration & Effective Communication: Experience working closely with cross-functional teams, providing data-driven insights and collaborating on projects to solve business challenges.

Considerations for Top Candidates:

Bachelors, Masters, or PhD degree preferably in statistics, economics, mathematics, data science or a similar field with quantitative coursework

Typically, 3-4+ years of professional experience utilizing quantitative analysis, or a Master’s degree and 1-2+ years of experience, or a PhD in one of the associated fields

Experience in eCommerce and/or digital products domains

Experience with advanced data analysis and statistical methods such as regression and hypothesis testing

Practical applications of machine learning techniques, such as Collaborative Filtering and Clustering

Strong technical and problem-solving skills and evidence of continuous learning in the analytics field

Experience leading analytics projects connecting data from various business domains and providing forecasts and insights to run the business profitably

Experience with cloud technologies (AWS, Azure, Snowflake, Google Cloud, etc.)

While these considerations make for a stronger candidate, we encourage applicants who may not feel they check all those boxes to apply! We always seek individuals who will bring something new to the table!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.Additional Information:This position has the option to be based out of either our Chicago, IL; Peoria, IL or Champaign, IL offices with a flexible hybrid work environment.#LI-Hybrid#BI (used to post on Built In Chicago)About CaterpillarCaterpillar 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.Visa Sponsorship is not available for this position. 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.Posting Dates:June 12, 2024 - June 23, 2024Any offer of employment is conditioned upon the successful completion of a drug screen.EEO/AA Employer. All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply.Not ready to apply? Join our Talent Community (http://flows.beamery.com/caterpillarinc/talcom) .There’s more to work at Caterpillar than just the work itself. We hire smart, friendly people and it shows in our culture. We hold ourselves to high standards and make sure our values of integrity, excellence, teamwork, commitment and sustainability come to life in the way we work. We make sure our employees feel continuously challenged while also supported. We provide professional growth opportunities, including leadership programs. We celebrate the diversity of our team, while also working together as one Caterpillar.Our culture, like everything at our company, is made possible by each employee’s contribution. Person by person, we create the environment we work in, and we are proud of the Caterpillar we’ve built.