Product Recommendation Data Scientist

New

Skills

Airtable Api Integration Data Analysis Data Science Data Visualization FastAPI Jira Logistic regression Machine Learning Python Scikit-learn

MXT.co, a global remote-first Shopify Plus skincare ecommerce platform, is seeking a part-time Data Scientist to design and implement a sophisticated product recommendation engine. The ideal candidate will replace a legacy algorithm with a statistically rigorous, interpretable system that aligns quiz respondents to curated product selections, ensuring accuracy, scalability, and transparent explanations.

Job Overview
  • Design and build a recommendation engine for product selection using historical quiz data.
  • Develop explainable, deterministic models for five product categories.
  • Integrate the recommender as a stateless API within Shopify Plus and custom quiz applications.
  • Ensure recommendations comply with business logic, inventory, and category constraints.
Key Responsibilities
  • Engineer weighted naive Bayes, regularized logistic regression, and kNN retrieval models.
  • Optimize model ensembles via cross-validation to improve accuracy.
  • Provide interpretable explanations for each recommendation.
  • Integrate with external APIs (Shopify, Airtable) and support reliable production deployment.
  • Monitor, log, and retrain the system for ongoing reliability and compliance.
  • Prototype and optionally implement LLM-powered explanation agents.
Required Skills & Qualifications
  • Proven experience in recommender systems using probabilistic models and classification methods.
  • Expertise in Python, scikit-learn, pandas, numpy, and FastAPI or equivalent.
  • Strong understanding of quiz-based personalization and multi-class classification.
  • Ability to translate statistical results into clear, user-facing explanations.
  • Experience working with low-sample datasets and advanced regularization techniques.
  • Integration experience with production APIs and business logic enforcement.
  • Knowledge of product taxonomies and category constraints.
  • Bonus: Experience with LLMs, retrieval-augmented generation, and JSON schema enforcement.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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