Data Scientist I, Cat Digital

Caterpillar Inc. is a global manufacturer developing products and services for construction, mining, energy, and transportation industries. The Data Scientist I will develop analytics for connected equipment assets by gathering and modeling large volumes of data, applying natural language processing and machine learning, and communicating business insights. The role will also research data model optimization and algorithms to improve analytical effectiveness and accuracy.

What you'll do:

• Performing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models
• Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques
• Defining 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

What they're looking for:

• Business Statistics: Working 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
• Machine Learning: Working knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services
• Programming Languages: Working knowledge of basic concepts and capabilities of applying Python programming to solve business challenges; ability to use tools, techniques and platforms to write and modify programming languages
• Query and Database Access Tools: Working knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use
• Typically, a Bachelors, Masters, or PhD degree in Applied Statistics, Data Science, Business Analytics, Predictive Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree
• Experience applying Python (NumPy, SciPy, pandas, etc.) programming to solve business challenges
• Experience with advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc. (typically 1+ years)
• Working knowledge with cloud technologies (AWS, Azure, Google Cloud, etc.)
• Advanced experience with version control / repositories such as GitHub
• Must demonstrate initiative, interpersonal skills, and the ability to communicate effectively

Benefits:

• Subject to plan eligibility, terms, and guidelines: Medical, dental, and vision benefits
• Subject to plan eligibility, terms, and guidelines: Paid time off plan (Vacation, Holidays, Volunteer, etc.)
• Subject to plan eligibility, terms, and guidelines: 401(k) savings plans
• Subject to plan eligibility, terms, and guidelines: Health Savings Account (HSA)
• Subject to plan eligibility, terms, and guidelines: Flexible Spending Accounts (FSAs)
• Subject to plan eligibility, terms, and guidelines: Health Lifestyle Programs
• Subject to plan eligibility, terms, and guidelines: Employee Assistance Program
• Subject to plan eligibility, terms, and guidelines: Voluntary Benefits and Employee Discounts
• Subject to plan eligibility, terms, and guidelines: Career Development
• Subject to plan eligibility, terms, and guidelines: Incentive bonus