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
Senior Health Data Scientist leading complex data extraction and modeling for healthcare solutions at Inovalon. Collaborating with multidisciplinary teams to deliver data - driven insights.
Data Scientist developing machine learning solutions and delivering insights for operational decisions. Collaborating with stakeholders to apply analytical techniques and improve business outcomes.
Data Scientist responsible for modeling and analyzing credit risk at CAIXA Consórcio. Utilizing data - driven insights to support strategic decision - making in credit operations.
Data Scientist optimizing payments ecosystem for Preply, enhancing user experience through data - driven insights. Collaborating with teams to improve payment processes and fraud management.
Staff Data Scientist at Preply developing data strategies for product domains. Collaborating with executives to drive long - term strategy and experimentation frameworks.
Data Manager leading data strategy and governance for Global Payments Solutions at Bank of America. Managing data architecture aligning with business and regulatory needs while overseeing complex data ecosystems.
Data Scientist developing and implementing LLM - based agents and leveraging AI techniques to improve client value. Collaborating on project challenges in a dynamic, start - up environment at Gartner.
Data Scientist in AI SaaS integrating 100+ systems for a European unicorn - in - the - making. Ensure scalability, security, and performance in a high - growth environment.
Data Science Intern working on AI - driven recipe and hardware optimization problems in semiconductor processes. Developing machine learning models and collaborating with engineering teams for innovative solutions.
Senior Data Scientist at LexisNexis developing AI - driven solutions for legal analytics. Collaborating with teams to implement machine learning models and monitor performance metrics.