Data Scientist

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., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics and AI capabilities to help our customers build a better, more sustainable world.

Advanced Diagnostics team within the Analytics & Applied AI department of Cat Digital is looking for a talented and motivated Data Scientist to help solve business challenges using advanced analytical methods. The Data Scientist will be tasked with enabling service experiences by collaborating with other Cat Digital and Global Service business teams to maximize the value extraction of our digital products and services. The Data Scientist will be part of a team using service offerings from fluids analysis data domain (oils and coolants from equipment), as well dealer, customer, and equipment information. Candidates for this position will be expected to exhibit strong technical and communication skills, an ability to explain complex concepts and draw conclusions, present to the analytics team and leadership and business partners, a penchant for innovation, strong initiative with an ability to work independently, and interpersonal and collaboration skills.

Act as a technical individual contributor on a small multi-person analytics team with work directed by the technical project leader who reviews methods and results. A blend of independent work and collaboration with the autonomy to lead specific tasks of the project while also working alongside team members for larger challenges. Leverage existing expertise in data cleaning, analysis, quantitative analytic methods, and modeling to tackle complex issues. Utilize various data science methods, such as machine learning, statistical modeling, and causal inference, to gain insights, optimize, and generate measurable business value. Become familiar with the company’s processes, products, governance and organization. Challenges include meeting expectations in delivering results, learning to refine solutions to better fit complex situations, making timely decisions, and communicating effectively with the technical project leader, manager, and business partners. 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 (SQL), scripting languages (Python), and