Senior Data Scientist

Career Area:

Technology, Digital and Data

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, youre joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We dont just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

Basic Qualifications:

• BS or MS degree in a quantitative discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, finance, or other related degree
• Overall experience of 7+ years of professional experience
• 5+ years of proven experience as a Data scientist in designing and implementing data processing and machine learning frameworks.
• Recent 4+ years of experience with Python, SQL
• Develop and implement advanced statistical models, machine learning algorithms, and AI techniques to solve complex business problems.
• Perform data analysis, data cleaning, and feature engineering to prepare data for modeling.
• Evaluate and select appropriate algorithms and models for specific use cases.

Top candidates will also have:

• MS degree in a quantitative discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, finance, or other related degree
• Proven experience in some of the following:
• Compiling and standardizing diverse, non-sanitized datasets.
• Working with structured and unstructured data.
• Developing classification and regression models.
• Unsupervised learning algorithms.
• Experience integrating analytical models with existing data pipelines.
• Proven experience as a Senior Data scientist for a Data science team.
• Hands-on experience in Agents, Large Language Models, Small Language Models, Retrieval Augmented Generation, Generative AI, Natural Language Processing, and Deep Learning
• Proven experience with AWS full-stack development and services such as Athena, Glue, DynamoDB, EC2, EMR, RDS, S3, SageMaker or Equivalent
• Experience with Snowflake data warehouse
• Experience visualizing data using BI software such as Tableau and MS Power BI
• Good organizational skills and an aptitude for complex analytical and detailed work; ability to prioritize among multiple concurrent projects to meet deadlines promptly.
• Ability to consider a broad range of issues or factors, grasp complexities and perceive relationships among problems or issues, and use accurate logic in analysis
• Exceptional verbal and written communication skills and ability to engage effectively at all levels of the organization, to both technical and non-technical audiences.
• Ability to work independently or collaboratively in a complex, rapidly changing, and culturally diverse environment.
• Ability to learn and comply with company policies and procedures
• Passion for technology and an eagerness to contribute to a team-orientated environment