Skillful Data Scientist Wanted
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About the Role:
We are seeking a highly skilled Data Scientist with strong experience in building recommendation systems to join our growing team. As a key member, you will play a critical role in designing and optimizing personalized experiences for millions of users by transforming raw data into actionable insights and automated systems.
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* Design Scalable Recommendation Engines: Collaborative filtering, content-based methods, or hybrid approaches to drive user engagement and satisfaction.
* User Profiling Models: Develop models using clickstream and behavioral data to deliver targeted recommendations.
* AI-Driven Product Tagging: Enhance metadata quality and retrieval to improve product rankings and user experience.
* Macro and Micro Fashion Trends: Analyze trends to influence product rankings and stay ahead of the competition.
* Insights from User Data: Extract insights from large-scale user data and convert them into actionable models to inform business decisions.
* Integration and Monitoring: Work closely with engineers and product managers to integrate models into production and monitor metrics for model performance and user engagement impact.
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Required Skills and Qualifications:
* 2+ Years of Experience: In data science, ideally in e-commerce or consumer-tech, with hands-on experience building and deploying recommendation systems.
* Proficiency in Python and Machine Learning Libraries: Scikit-learn, TensorFlow, PyTorch, LightFM, and other popular tools.
* Experience with Data Analysis Tools: SQL, Pandas, Jupyter, and other industry-standard tools.
* Strong Grasp of Personalization Techniques: User segmentation strategies, product ranking using behavioral data, and trend signals.
* Experience Working with Large-Scale Data Pipelines: A/B testing frameworks, cloud platforms (AWS, GCP), and modern MLops workflows.
* Strong Communication and Problem-Solving Skills: Ability to effectively communicate technical ideas and solve complex problems.
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Preferred Qualifications:
* Fashion or Lifestyle E-commerce Domain: Experience working in this domain is highly valued.
* Modern MLops Workflows and Model Monitoring Tools: Familiarity with tools like Airflow, DBT, and others.
* Cloud Platforms and Tools: Experience working with AWS, GCP, and other cloud platforms.