Lead 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.

The Cybersecurity GRC – Technology & Analytics team of Caterpillar IT is seeking a Lead Data Scientist to be a technical expert, working in a team environment, to support the development, integration & enhancement for Caterpillar in Advanced Analytics and GenAI initiatives for the Technology & Analytics team.

Significant responsibilities of this position are working with people; enhancing the team's creativity; maintaining knowledge of approaches used in similar projects; and pushing the technical bounds of experimentation while meeting customer commitments. The Lead Data Scientist acts as a technical leader for establishing and maintaining a sound analytic approach for solving the problem s individual will develop good networks within the technical community to enable them to collaborate on technical solutions, obtain resources and cooperation needed, and remove roadblocks so that they can ensure the success of their team.

Key areas of accountability include participating in the design and development of Data and Analytic Solutions including GenAI as part of Strategic Cybersecurity projects and programs; providing input into technology roadmaps and application evolution plans; acting as a researcher and evaluator of new technology, information, or integration standards. The Lead Data Scientist reports to an Analytics Supervisor and bears primary responsibility for solving the business problem presented through applied analytics and directing the team technically.

Individual work will primarily be directed by Manager and Stakeholders in terms of business requirements and needs.

• Conduct Data Discovery, data preparation and data processing for business intelligence and ML / AI Models.
• Exploring, promoting, and implementing semantic data capabilities through data analytics and machine learning techniques.
• Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.
• Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.
• Plan technical deliverables and definition of done for each sprint for the Jr. Data Engineers
• Communicate and Present the Technical Deliverables to stakeholders and business in an easy-to-understand way.
• Demonstrate a breadth of knowledge in the application statistical methods and/or digital methods to solve business problems
• Develop, validate, train and implement statistical models, and implement digital solutions
• Participate on 3-4 projects/products concurrently
• 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/or digital technology knowledge and the ability to solve low to medium complexity problems.
• Have very good communication skills, being able to explain conclusions to customers with limited knowledge and experience with quantitative analytical methods.

• Business Statistics:
  Extensive experience with 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.
• Machine Learning / AI:
  Extensive knowledge of principles, technologies and algorithms of machine learning
• Programming
  
  Languages:
  
  Extensive knowledge in the application of Python programming to solve business challenges; ability to use tools, techniques and platforms in order to write and modify programming languages.
• Database Management and…