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Zoro

Online retail of industrial MRO equipment

Senior Data Scientist 1

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeChicago, IL, USA

About the Job

Requirements

  • A Master's degree in a quantitative field such as Statistics, Data Science, Computer Science, or another STEM discipline.
  • At least 6 years of experience leading data science projects with direct impact on company objectives, or a PhD in a quantitative field such as Statistics, Data Science, or Computer Science plus at least 4 years of experience.
  • At least 6 years of experience applying data mining and machine learning to complex business problems, including at least 5 years of hands-on experience using deep learning frameworks to develop, train, and optimize machine learning models.
  • A deep understanding of relevance, ranking, and representation-learning solutions, including at least 2 years of hands-on experience developing and optimizing learning-to-rank models and tuning ranking and relevance metrics.
  • At least 5 years of experience using Python to process large, complex, and diverse datasets, develop and productionize predictive models, and deploy scalable machine learning solutions across cloud-based and distributed computing environments.
  • At least 5 years of experience with advanced SQL and cloud-based data platforms such as Google Cloud Platform or AWS.
  • At least 3 years of experience applying large language models and generative AI to business use cases, including designing evaluation frameworks to assess model quality, relevance, and business impact through offline metrics.
  • Strong knowledge of statistical and causal inference methods, parametric models, and experiment planning.
  • Hands-on application of SOLID principles and modern software engineering practices, including designing maintainable, testable, and scalable production systems.
  • Ability to collaborate with business stakeholders and drive cross-functional business and technical discussions.

Responsibilities

  • Apply domain and industry knowledge to complex data science projects, develop advanced machine learning models, and drive data-informed decisions across the organization.
  • Lead data science projects from start to finish by refining objectives, developing project plans and methodologies, and collaborating with business and technical teams.
  • Write and maintain high-quality, production-grade code, including unit and integration tests.
  • Establish and maintain comprehensive, accurate evaluation frameworks to assess model performance and inform ongoing improvements.
  • Collaborate with other data scientists to develop and implement algorithms, write code, evaluate relevant academic research, and deliver final outputs.
  • Provide guidance on tools, practices, data sources, technical debt, and best practices to drive efficiency.
  • Mentor and guide junior data scientists on algorithms, coding best practices, and other technical concepts.
  • Document critical code and data science processes and develop strategies to ensure those processes are robust and fault-tolerant.
  • Communicate findings to business leaders and colleagues using data visualizations, presentations, and reports.

Desired Qualifications

  • Experience building or operating real-time, low-latency systems.
  • Experience working with vector databases and feature stores.
  • Experience using data science or advanced analytics in an internet retailer or top-tier consumer-focused company.
  • Experience using Docker and Kubernetes in production environments.
  • Experience using Airflow or Kubeflow for production workloads.
  • Familiarity with Tableau or Looker and the ability to communicate results to business partners.

About the Company

Zoro

Online retail of industrial MRO equipment

Zoro.com serves business customers by operating an online retail platform for industrial equipment, MRO supplies, and tools. Products are sourced from multiple manufacturers and sold directly to end users through a user-friendly website, with detailed specifications and fast order processing. The platform works by offering a large catalog, competitive prices achieved through high-volume purchasing, and optional expedited shipping for an extra fee, enabling quick restocking and maintenance. Zoro differentiates itself with a broad selection, clear product information, and strong customer service aimed at keeping manufacturing, construction, healthcare, and education operations running smoothly. Its goal is to provide a convenient, cost-effective one-stop online source for MRO products, helping businesses save time and reduce procurement costs.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Canteleu, France
Founded
2011

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