Data Scientist

at  Caterpillar

JOB SUMMARY:

Join our dynamic team as a Data Scientist, where you’ll play a pivotal role in transforming rental data into strategic business insights. Collaborate with cross-functional teams to drive innovation, solve complex challenges, and contribute to the development of cutting-edge solutions. If you’re enthusiastic about data science, eager to learn, and ready to make a meaningful impact, we encourage you to join our team and grow your career in this exciting field.

CONSIDERATIONS FOR TOP CANDIDATES:

• Typically has 2+ years of professional experience utilizing quantitative analysis/ data management (data design, data quality, metadata, governance, etc.).
• Typically, a Master’s or higher degree in a quantitative discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, finance or other related degree.
• Typically, 1 – 2 years of experience in Machine learning.
• Proficiency in Python and SQL.
• Experience with AWS services, Cloud ELT/ETL, Snowflake.
• Strong knowledge of end-to-end data lifecycle across traditional data warehouses, relational databases, operational data stores, business intelligence reporting, as well as new concepts such as data fabrics, data mesh, and data lake house.
• Strong understanding of data governance, metadata management, data quality, data modeling, and data architecture concepts
• Experience creating data solutions as well as conceptual and logical data models
• Experience with metadata managers, data profiling tools, data cataloging tools and visualization tools
• Experience with solution integration or solution architecture practices
• Knowledge of data technology products and components for Big Data and Cloud (AWS, Data Lakes, and similar).
• XML and JSON file format knowledge
• Experience with Object Oriented Concepts/Development/Modeling
• Ability to work collaboratively in a complex, rapidly changing, and culturally diverse environment.
• Ability to clearly communicate technical findings and insights to non-technical stakeholders, fostering a collaborative and data-informed environment.
• Comfortable working in a dynamic environment where digital is still evolving as a core offering.
• Extensive critical thinking and problem-solving skills to tackle challenges and contribute to the resolution of complex issues.
• Staying abreast of the latest developments in data science and related technologies, actively seeking opportunities for professional growth.

Your mission is to cultivate a data-driven product development culture, utilizing insights to optimize our digital investments. Drive the expansion of Rental revenue and customer base by enhancing dealer business operations and elevating product utilization through enhanced customer engagements.

• 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.
• Defining requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.
• Participating in the design and execution of experiments to test hypotheses and improve the performance of data models.
• Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.