Data Scientist Back End Developer (Python & ML Expert)

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.