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2 дня назад

Data Scientist (eCommerce)

97 530 - 158 480$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Scientist (eCommerce): Building and optimizing data-driven recommendation and personalization solutions for aftermarket digital products with an accent on machine learning, causal inference, and GenAI techniques. Focus on end-to-end project ownership, translating complex business problems into scalable AI models, and delivering measurable business value.

Location: Must be based in Chicago, IL

Salary: $97,530 - $158,480

Company

A global leader in construction and mining equipment, leveraging advanced analytics and AI to build sustainable digital solutions for customers worldwide.

What you will do

  • Apply machine learning, statistical modeling, and GenAI to understand customer behavior and drive personalization.
  • Develop and deploy recommendation systems and AI-powered assistants for sales enablement.
  • Partner with product and engineering teams to translate business needs into scalable analytical solutions.
  • Own analytics projects end-to-end from data exploration to production-ready features.
  • Research and implement emerging AI techniques to improve customer impact.
  • Communicate findings to technical and non-technical stakeholders to influence business decisions.

Requirements

  • Must be based in Chicago, IL
  • Visa sponsorship is not available
  • Fluency in data querying (SQL) and scripting languages (Python) or statistical software (R).
  • Strong knowledge of machine learning principles, algorithms, and statistical modeling.
  • Experience in data cleaning, exploratory analysis, and mining complex datasets.
  • Proven ability to collaborate with cross-functional teams to solve business challenges.

Nice to have

  • Experience in eCommerce or digital product domains.
  • Advanced degree (Masters or PhD) in statistics, economics, mathematics, or data science.
  • Experience with cloud technologies such as AWS, Azure, Snowflake, or Google Cloud.
  • Practical application of collaborative filtering, clustering, and hypothesis testing.

Culture & Benefits

  • Comprehensive medical, dental, and vision insurance.
  • 401(k) savings plan with company contribution.
  • Paid time off including vacation, holidays, and volunteer days.
  • Health Savings Account (HSA) and Flexible Spending Accounts (FSA).
  • Career development opportunities and tuition reimbursement.
  • Incentive bonus programs and employee discounts.

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