Senior Data Scientist

About the role

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.

Responsibilities

• Demonstrate a breadth of knowledge in the application statistical methods and/or digital methods to solve business problems.
• Executes data gathering, data mining, and data processing of big data; creating appropriate data models.
• Builds and deploys statistical, machine learning, and AI models in a business context.
• Coaches and mentors others in the creation, validation, and application of models and digital solutions.
• Advocates and implements proper data governance as it applies to machine learning and AI systems.
• Researches and applies new methods and models to improve products and exceed customer expectations.
• Focuses on continual learning in the Analytics field.
• Clearly explains conclusions to stakeholders with varied backgrounds and experience in quantitative analytical methods.
• Presents and reports business insights to management using data visualization technologies.
• Optimizes model performance and accuracy to improve effectiveness and business value of data analyses.

Requirements

• Masters degree, preferably in data science, statistics, economics, mathematics, or a similar field.
• 4+ years of experience applying SQL, Python, etc. to solve business challenges.
• Experience with visualization in Power BI.
• Strong technical and problem-solving skills and evidence of continuous learning in the analytics field.
• Deep Experience with Snowflake & AWS tools like S3, Lambda, EMR, Glue, Bedrock/Agent Core, etc.

Qualifications

• Business Statistics: 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.
• Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
• Analytical Thinking: 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.
• Machine Learning & AI: Knowledge of principles, technologies and algorithms of machine learning and AI; ability to develop, implement and deliver related systems, products and services.
• Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
• Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
• Completes specific tasks and initiatives utilizing machine learning and artificial intelligence technologies.
• Applies specific tools in machine learning and AI in Python.
• Familiarity and demonstrated use of key machine learning, artificial intelligence and agentic frameworks (scikit learn, pytorch, tensorflow, langgraph, etc.).

Skills

• Works with aggregate functions, complex joins, groupings, dynamic and embedded SQL's (Structured Query Languages).
• Teaches others about query optimization techniques and facilities.
• Consults on query optimization, interactive queries, testing and verification.

Benefits

• Medical, dental, and vision benefits.
• Paid time off plan (Vacation, Holidays, Volunteer, etc.).
• 401(k) savings plans.
• Health Savings Account (HSA).
• Flexible Spending Accounts (FSAs).
• Health Lifestyle Programs.
• Employee Assistance Program.
• Voluntary Benefits and Employee Discounts.
• Career Development.
• Incentive bonus.
• Disability benefits.
• Life Insurance.
• Parental leave.
• Adoption benefits.
• Tuition Reimbursement.

Pay

Pay Range: $112,710.00 - $183,140.00

Schedule

This position requires working onsite five days a week.

Relocation

Relocation is available for this position.

Visa Sponsorship

Visa sponsorship is not available for this position.