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5 дней назад

Senior Data Scientist (AI)

112 710 - 183 140$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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