Data Scientist II at Caterpillar Inc. analyzing data to support service growth and downtime prevention initiatives using advanced statistical techniques.
Responsibilities
Performing the data gathering, mining and processing processes in huge volume; creating appropriate data models.
Exploring, promoting, and implementing advanced statistical techniques (such as time series, NLP, genAI…), including tests, validation and delivery.
Implement innovative data model optimization framework and algorithms to improve effectiveness and accuracy on models in production.
Provide support to technical partners as well as business partners to drive adoption.
Defining requirements and scope of data analyses; create documentation, compelling presentations and visualizations to explain complex technical algorithms and impacts into understandable business language.
Requirements
Typically, a Bachelors, Masters, or PhD degree in Applied Statistics, Physics, Data Science, Business Analytics, Predictive Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree.
Extensive experience applying Python (NumPy, SciPy, pandas, etc.) and SQL programming to solve business challenges is a must.
Extensive experience with advanced data analysis and statistical methods (typically 4+ years).
Extensive experience in practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks.
Working experience with heavy equipment engineering is an advantage.
In-depth technical and problem-solving skills and evidence of continuous learning in the analytics field.
Advanced experience with version control / repositories such as GitHub.
Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.
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
Job title
Data Scientist II, Downtime and Condition Monitoring
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