3 дня назад
Senior Staff Data Scientist (AI)
142 530 - 178 110$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Staff Data Scientist (AI/ML): Architecting and building enterprise-scale machine learning systems, deep learning models, and AI agentic applications for vehicle listings, customer behavior, and operational analytics with an accent on NLP, computer vision, scalable data architectures, and measurable business impact. Focus on designing full-lifecycle ML solutions, integrating LLM-powered workflows, establishing technical direction, and mentoring senior data scientists.
Location: Westchester, Illinois, United States
Salary: $142,530–$178,110 per year
Company
IAA, a Auctioneers company, operates a technology-enabled marketplace and transaction platform for damaged, total-loss, and low-value vehicles serving buyers in more than 170 countries.
What you will do
- Define the technical roadmap for data science and machine learning initiatives across the organization.
- Architect and build end-to-end ML systems, from data strategy and feature engineering through deployment and monitoring.
- Develop supervised, unsupervised, deep learning, NLP, and computer vision solutions for customer behavior, vehicle listings, and other business-critical domains.
- Build AI agentic applications and LLM-powered workflows using external tools and APIs.
- Partner with data engineering, ML platform, and software engineering teams to productionize reliable, scalable models.
- Set technical direction, communicate strategies to executive stakeholders, and mentor senior data scientists.
Requirements
- 8+ years of experience building and deploying production machine learning systems.
- Advanced Python and SQL skills with experience in scikit-learn, PyTorch or TensorFlow, pandas, and NumPy.
- Hands-on experience with NLP, computer vision, feature engineering, model training, evaluation, deployment, and monitoring.
- Experience building AI agentic applications with LangChain, LangGraph, or similar frameworks and integrating LLMs with tools and APIs.
- Experience architecting ML solutions on large datasets with Spark or Dask and AWS, Azure, or GCP.
- Ability to influence technical roadmaps, communicate with executive stakeholders, and mentor senior data scientists.
Nice to have
- Experience with Model Context Protocol, multi-agent systems, tool-use agents, RAG pipelines, and autonomous workflows.
- Knowledge of LLMs, prompt engineering, generative AI, MLOps, and CI/CD for machine learning.
- Experience with real-time inference, low-latency model serving, or open-source contributions.
Culture & Benefits
- Medical, dental, vision, and basic life insurance.
- 401(k) plan with a 100% company match on the first 4% contributed.
- 15 days of paid time off annually.
- Equal-opportunity employment for applicants legally entitled to work in the country where the position is located.
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