Data Scientist II – Data Algorithms & Optimization

Responsibilities

• Design, develop, and maintain advanced analytical models, including machine learning and statistical approaches, to support digital products and enterprise initiatives.
• Analyze large, complex datasets to identify trends, patterns, and opportunities for improvement.
• Partner with cross‑functional teams to define analytical requirements and translate business questions into data science solutions.
• Support data quality initiatives by validating data sources, identifying gaps, and recommending improvements.
• Communicate insights and model results clearly to technical and non‑technical stakeholders.
• Contribute to continuous improvement of analytics tools, methodologies, and best practices within Cat Digital.

• Typically, a Bachelors, 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.
• Extensive hands‑on experience: applying Python programming to solve business challenges.
• Advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc.
• Practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks.
• Working with generative AI, with an understanding of strengths, limitations, and responsible use considerations.
• Advanced experience in quantifying the costs, benefits, risks and chances for success before recommending a course of action.
• In‑depth technical and problem‑solving skills and evidence of continuous learning in the analytics field.
• Working knowledge with cloud technologies (AWS, Azure, Google Cloud, etc.).
• Advanced experience with version control / repositories such as Git Hub.
• Experience operating in an Agile environment.
• Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.