Analytics - Data Scientist

Career Area:

Technology, Digital and Data

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.

Caterpillar uses analytics to identify and create opportunities for the workforce to deliver on business priorities. Some typical opportunities include identifying markets and segments with key skills and talent to execute on businesses priorities, modeling scenarios and risks to our current and future talent, evaluating the effectiveness of operations and strategic initiatives, and recommending key areas to influence outcomes with data and insights.

Our global team will provide analytical thought leadership for COEs, Segments, and Functional solutions and initiatives.

The principal responsibility of People Analytics Data Scientist is to provide a unique combination of statistical expertise, critical thinking, business acumen, inquisitiveness, and creativity to deliver solutions and insights across the enterprise. In addition, they will continue to elevate thinking amongst the analytics team, COPs, and all its partners to grow the analytical capabilities across all HR.

• Oversee the acquisition and consumption of data from structured and unstructured sources, while ensuring quality and comprehensiveness of data for use in analyzing business activities, detecting patterns, and communicating trends.

• Demonstrate an ability to utilize various methods and techniques, including AI, to frame problems and situations and accurately analyze situations to reach productive decisions.

• Develop predictive data models, quantitative analyses, and implement semantic data capabilities through NLP, text mining, and machine learning techniques.

• Lead data exploration and analytics projects and provide on‑going coaching regarding visualizations, data mining, and analytics techniques.

• Demonstrate an ability to tell a story with data and create compelling ways to use data to drive actions.

Some challenges of this role include working with Segments and COEs that may have conflicting priorities; shifting paradigms and thinking regarding data and analytics; balancing the need for precision vs minimally viable solutions; scaling the significant demand for data and analytics to focus on value added activities.

The People Analytics Data Scientist will elevate the rest of the team by establishing sound analytic approaches addressing the business challenges across the enterprise. The role reports into a Global Analytics Lead that is responsible for helping build a data driven culture and create analytical solutions that improve decision making and reveal new opportunities. They must demonstrate effective communication skills to explain conclusions to customers with limited knowledge and experience with analytics.

• Possess knowledge of business concepts, tools, and processes that are needed for making sound decisions in the context of the company's business; ability to apply this knowledge appropriately to various situations.

• Bachelor’s degree, preferably in statistics, economics, mathematics, or a similar field, and 2-5 years of professional experience in analytics is required or master’s degree and 1-3 years of relevant experience.

• Knowledge of R/Python/SQL for ETL, Machine Learning, and data visualization packages like Power BI and Tableau.

• Knowledge of Data Lake solutions (Snowflake/AWS) and applied knowledge of stackable solutions and automation techniques is a plus.

• Strong consultative skills, initiative, and the ability to communicate and tell compelling stories with data.

• Ability to utilize AI responsibly to streamline and enhance analytics approaches to solve workforce challenges.

• The primary location for this position is…