5 дней назад
Senior Data Scientist (AI)
112 710 - 183 140$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (AI): Building and deploying advanced analytics, machine learning, and AI-enabled solutions for Caterpillar’s Remanufacturing Division with an accent on predictive modeling, generative AI, and production-ready analytical workflows. Focus on designing explainable models, integrating data pipelines and governed data products, and leading the operationalization of scalable decision-support tools.
Location: Onsite five days a week in Mossville, Illinois; additional locations may be considered in Franklin, Indiana; Corinth, Mississippi; Fargo, North Dakota; and Irving, Texas. Domestic relocation is available.
Salary: $112,710–$183,140 per year.
Company
manufactures construction and mining equipment, engines, turbines, and locomotives, with this role supporting the Remanufacturing Division and its sustainable, circular-economy solutions.
What you will do
- Lead the design, development, deployment, and monitoring of advanced analytics, machine learning, and AI-enabled solutions.
- Apply statistical modeling, forecasting, optimization, simulation, experimentation, and feature engineering to business problems.
- Build analytics products and decision-support tools combining machine learning outputs, curated data, and Power BI reporting.
- Research and implement generative AI, intelligent agents, natural language interfaces, and automation solutions.
- Create governed, repeatable workflows using Python, Kedro, dbt, Docker, AWS, Snowflake, and Azure DevOps.
- Lead analytical design reviews and Agile delivery while mentoring team members and establishing data science standards.
Requirements
- Bachelor’s degree in engineering, computer science, or another technical field, or equivalent proven work experience.
- Hands-on experience developing, validating, deploying, monitoring, and continuously improving data science and machine learning solutions with Python.
- Strong knowledge of supervised and unsupervised learning, forecasting, optimization, statistical analysis, model evaluation, and feature engineering.
- Experience with AI-enabled solutions such as generative AI applications, natural language solutions, intelligent agents, or automation tools.
- Practical experience with dbt, Kedro, AWS, Docker, Snowflake, Azure DevOps, Git, and Power BI.
- Working knowledge of data engineering, ELT/ETL, data modeling, data quality, requirements analysis, and complex SQL queries.
Culture & Benefits
- Full-time employment in an onsite manufacturing and remanufacturing organization.
- Medical, dental, and vision coverage, paid vacation and holidays, parental leave, and disability coverage.
- 401(k) savings plan, health savings account, flexible spending accounts, life insurance, and voluntary benefits.
- Career development, tuition reimbursement, healthy lifestyle programs, employee assistance, and incentive bonus opportunities.
- Employment is conditional on successful background, drug, and alcohol screenings.
- Visa sponsorship is not available; applicants requiring or likely to require employer-tied sponsorship are not eligible.
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