6 дней назад
Staff Data Scientist (AI/ML)
117 830 - 176 750$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Scientist (AI/ML): Building and deploying scalable supervised, unsupervised, and deep learning models plus AI agentic applications for vehicle, customer, and operational data with an accent on production ML, experimentation, and enterprise integration. Focus on developing LLM-powered workflows, designing A/B tests and causal analyses, and productionizing reliable models across large-scale datasets.
Location: Westchester, Illinois, United States; applicants must be legally entitled to work in the country where the job is located
Salary: $117,830–$176,750 per year
Company
operates a global marketplace and technology platform for commercial assets and vehicles, including digital bidding, vehicle merchandising, and evaluation services.
What you will do
- Lead end-to-end data science projects from problem framing and data exploration through deployment and monitoring.
- Design and build supervised, unsupervised, deep learning, and AI agentic solutions for business problems.
- Develop LLM-powered applications using external tools and APIs to automate workflows.
- Design experiments, including A/B tests and causal inference analyses, to measure model and product impact.
- Perform feature engineering, data validation, and quality assurance across large datasets.
- Partner with data engineering and ML platform teams to productionize scalable, reliable, and monitored models while mentoring junior data scientists.
Requirements
- 5–7 years of experience building and deploying production machine learning models.
- Advanced Python and SQL skills with experience in scikit-learn, PyTorch or TensorFlow, pandas, and NumPy.
- Hands-on experience with LangChain, LangGraph, or similar frameworks, including LLM and external tool/API integration.
- Experience across the full ML lifecycle, including feature engineering, training, tuning, evaluation, deployment, and monitoring.
- Strong knowledge of statistics, experimental design, core ML algorithms, distributed computing with Spark or Dask, and cloud platforms such as AWS, Azure, or GCP.
- Must be legally entitled to work in the United States. Experience mentoring junior data scientists in an Agile environment is required.
Nice to have
- Natural language processing or computer vision experience.
- Familiarity with large language models, prompt engineering, and generative AI.
- Experience with MLOps and CI/CD pipelines for machine learning workflows.
- Contributions to open-source projects.
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 each year.
- Work in a global marketplace serving buyers in more than 170 countries.
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