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Senior Data Scientist - eCommerce 100% remote within North America

extra holidays - extra parental leave
Remote: 
Full Remote
Salary: 
50 - 50K yearly
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

7+ years as a Data Scientist or Machine Learning Engineer, Strong Python expertise with ML libraries, Experience with DevOps tools like Docker and Git, Master's degree in STEM or equivalent field.

Key responsabilities:

  • Design and develop ML systems for eCommerce
  • Analyze large datasets to generate insights
  • Establish coding standards for team efficiency
  • Collaborate with stakeholders on ML solutions
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51 - 200 Employees
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Job description

Job Description:

Senior Data Scientist – eCommerce

We are seeking an experienced Senior Data Scientist to join our growing eCommerce team. You will play a critical role in developing and implementing advanced machine learning systems to drive our global eCommerce growth. If you are passionate about applying cutting-edge ML techniques in a dynamic environment, we’d love to hear from you.

Must-Have Qualifications:
  • 7+ years of experience as a Data Scientist or Machine Learning Engineer.
  • Proven recent experience on eCommerce projects leveraging data science and machine learning.
  • Strong Python expertise, including hands-on experience with ML libraries and frameworks (e.g., PyTorch, TensorFlow).
  • Experience with DevOps tools such as Docker, Git, Kubernetes, or similar, to streamline and optimize workflows.

Other Preferred Qualifications:
  • Experience in supply chain projects is a strong nice-to-have.
  • Functional familiarity with software development and data engineering best practices.
  • Expertise in optimization and forecasting models and understanding of trade-offs between different solutions.
  • Experience with distributed cloud computing platforms, including Hadoop, Spark, or Kubernetes.
  • A Master’s degree (or higher) in STEM or equivalent field.
  • Strong communication skills, with the ability to translate complex technical findings into business insights.
  • Knowledge of AI application development and industry best practices.
  • Experience creating and sharing documentation or best practices for the broader ML community.

Key Responsibilities:
  • Design and develop large-scale machine learning systems to solve complex eCommerce challenges.
  • Analyze large datasets and build custom models and algorithms to uncover actionable insights.
  • Establish clean and organized coding standards to enhance team efficiency and scalability.
  • Collaborate with business stakeholders to identify opportunities and implement ML-driven solutions.
  • Lead the creation of documentation and best practices to share with the internal and external ML communities.

This role offers a unique opportunity to influence the global eCommerce landscape while working with cutting-edge tools and techniques. If you have the passion and experience for this high-impact role, apply today!

Affinity Earn:

Know someone who’s great for this, or any of our open roles? Earn up to $4,000/year for each successful referral through Affinity Earn. You can also earn up to $50,000 for helping us find new clients. Learn about our referral program at https://affinity-group.ca/earn/ or browse our jobs & follow us at https://www.linkedin.com/company/affinity-staffing/jobs/

About Affinity:

Affinity Group is a technology and business consulting and services company. We believe in creating long term relationships between clients and consultants that foster a mutually beneficial partnership. Affinity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment is decided on the basis of qualifications, merit and business need.

For more information on Affinity, please visit www.affinity-group.ca

Job Number: 11371

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Forecasting
  • Communication

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