Data Scientist

We are seeking a highly skilled and experienced Data Scientist with expertise in Search Ranking and Learning to Rank (LTR) algorithms to join our dynamic team. The ideal candidate will have a strong background in developing and optimizing ranking systems for e-commerce platforms. This is an urgent requirement for a professional who can hit the ground running and contribute to enhancing our search and recommendation systems.

Key Responsibilities

• Design, develop, and optimize Learning to Rank (LTR) models to improve search ranking and recommendation systems for e-commerce platforms.
• Collaborate with cross-functional teams (engineering, product, and business) to understand requirements and deliver scalable ranking solutions.
• Analyze large-scale datasets to identify patterns, trends, and insights that drive ranking improvements.
• Implement and evaluate machine learning models for search relevance, personalization, and ranking.
• Stay updated with the latest advancements in Search Ranking, LTR, and e-commerce trends to propose innovative solutions.
• Mentor junior team members and provide technical guidance on data science best practices.

Qualifications

Education:

Bachelor’s/Master’s/PhD in Computer Science, Data Science, Machine Learning, or a related field.

Experience:

• 5+ years of experience as a Data Scientist, with a focus on Search Ranking and Learning to Rank (LTR).
• Proven experience in e-commerce or related domains.
• Strong understanding of machine learning algorithms, particularly those used in ranking systems.

Technical Skills:

• Proficiency in Python, R, or Scala for data analysis and model development.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Strong SQL skills for querying and manipulating large datasets.
• Familiarity with search technologies like Elasticsearch, Solr, or Lucene is a plus.
• Knowledge of A/B testing and experimental design for model evaluation.