Cat Digital is seeking a Lead Data Scientist to guide a team in building the next generation of intelligent analytics for Cat Foresight, focusing on condition monitoring with predictive and attentional models to enable advanced insights and efficient decision-making.
Requirements
- Extensive knowledge of principles, technologies and algorithms of machine learning (particularly recommendation/attentional models); ability to develop, implement and deliver related systems, products and services.
- Extensive knowledge of basic concepts and capabilities of applying Python programming to solve business challenges; ability to use tools, techniques and platforms in order to write and modify programming languages.
- Extensive knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
- Working knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.
- Extensive experience applying Python (NumPy, SciPy, pandas, etc.) programming to solve business challenges.
- 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
Responsibilities
- Directing 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.
- Leading to define requirements and scope of data analysis; 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.
Other
- Typically, a 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
- Advanced experience in quantifying the costs, benefits, risks and chances for success before recommending a course of action.
- Working experience with heavy equipment engineering and/or condition monitoring.
- Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.
- Visa Sponsorship is not available for this position.
