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Jobright.ai

Data Scientist II, Condition Monitoring

Jobright.ai, Chicago, Illinois, United States, 60290

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Data Scientist II, Condition Monitoring

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Jobright.ai Caterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, committed to building a better, more sustainable world. The Data Scientist II will join the Condition Monitoring Analytics team to perform analytical tasks on large volumes of data, supporting data-driven business decisions and the development of innovative data models. Responsibilities: • Performing the data gathering, mining and processing processes in huge volume; creating appropriate data models. • Exploring, promoting, and implementing next-generation techniques (such as weak learning, 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. Qualifications: Required: • Analytical Thinking: Working 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: 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 and SQL programming to solve business challenges; ability to use tools, techniques and platforms in order 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, 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. • 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. Preferred: • Working experience with heavy equipment engineering is an advantage. Company: For 100 years, we’ve been helping customers build a better, more sustainable world. Founded in 1925, the company is headquartered in Peoria Heights, Illinois, USA, with a team of 10001+ employees. The company is currently Public Company. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

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