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Data Scientist Back End Developer (Python & ML Expert)

Data Scientist Back End Developer (Python & ML Expert)

Frenzy.aiThrissur, IN
30+ days ago
Job description

Must have at least 3 years of professional Python & ML experience and Master's Degree in Computer Science or Equivalent

About Us :

We are a fashion-focused e-commerce company leveraging cutting-edge AI technologies to transform how customers discover products. Our platform integrates intelligent search and recommendation systems to deliver a personalized shopping experience. We analyze user behavior, micro / macro fashion trends, and product metadata to curate and rank content dynamically.

Role Overview :

We are seeking a skilled Data Scientist with strong experience in building recommendation systems to join our growing team. You will play a critical role in designing and optimizing personalized experiences for millions of users by transforming raw data into insights and automated systems.

Key Responsibilities :

  • Design, build, and deploy scalable recommendation engines using collaborative filtering, content-based methods, or hybrid approaches.
  • Develop user profiling models using clickstream and behavioral data.
  • Leverage AI-driven product tagging to enhance metadata quality and retrieval.
  • Analyze macro and micro fashion trends to influence product rankings.
  • Extract insights from large-scale user data and convert them into actionable models.
  • Work closely with engineers and product managers to integrate models into production.
  • Develop and monitor metrics for model performance and user engagement impact.

Required Skills and Qualifications :

  • 2+ years of experience in data science, ideally in e-commerce or consumer-tech.
  • Hands-on experience building and deploying recommendation systems (e.g., matrix factorization, deep learning-based recommenders, implicit / explicit feedback models).
  • Proficiency in Python and machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, LightFM).
  • Experience with data analysis tools such as SQL, Pandas, and Jupyter.
  • Strong grasp of personalization techniques and user segmentation strategies.
  • Solid understanding of product ranking using behavioral data and trend signals.
  • Experience working with large-scale data pipelines and A / B testing frameworks.
  • Strong communication and problem-solving skills.
  • Preferred Qualifications :

  • Experience in the fashion or lifestyle e-commerce domain.
  • Knowledge of modern MLops workflows and model monitoring tools.
  • Familiarity with cloud platforms (AWS, GCP) and tools like Airflow or DBT.
  • Background in NLP or computer vision for fashion tagging is a plus.
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