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Medium: strong global brand and metro location increase competition, but seniority and specialization moderate applicant density.
Medium because core ML skills transfer across industries, but heavy-equipment domain knowledge increases specificity.
High due to explicit years bands, required ML/Python/SQL skills, and leadership/model deployment expectations.
Lead and manage 3-4 concurrent advanced analytics projects impacting Caterpillar business units, dealers, and customers.
Provide technical leadership and mentorship to Data Scientists in model development, validation, and deployment.
Communicate complex analytical results to non-technical stakeholders and drive adoption of emerging analytics methods and technologies.
Bachelor's degree in statistics, economics, mathematics, engineering, or related quantitative discipline with 7-10 years experience; or Master's with 4-6 years; or PhD with 1-3 years.
Advanced proficiency in Python and SQL; strong command of MS Office and data visualization tools such as Power BI.
Work onsite 5 days a week; hybrid and flexible work environment but on-location required.
Visa sponsorship is not available for this position.
Experienced in applying advanced statistical and machine learning techniques within a commercial or industrial domain like Caterpillar’s.
Skilled at leading multiple high-impact analytics projects while balancing innovation with customer commitments.
Capable of mentoring technical teams and communicating complex ideas clearly to non-technical audiences.