Job Description
Title: Data Scientist
Location: Gurugram, India
About the Role
We are looking for a highly skilled Data Scientist to join our growth analytics team and enhance product discoverability and shopability through advanced machine learning and AI techniques. Your primary focus will be on improving our sorting algorithms across both search and non-search routes, leveraging NLP to extract insights from product text details, and integrating image processing & classification models. Additionally, you will work with LLMs, BQML API integration, and prompt engineering to enhance our recommendation and search capabilities.
Key Responsibilities
● Develop and optimize sorting algorithms for product ranking across different user journeys (search & non-search-based routes).
● Implement NLP techniques to extract context and valuable insights from product titles, descriptions, and reviews to improve product discoverability.
● Apply image processing and classification techniques to enhance product categorization and improve search relevance.
● Work with Large Language Models (LLMs) to refine product search, recommendations, and customer interactions.
● Integrate Big Query ML (BQML) API to develop, deploy, and monitor ML models at scale.
● Conduct prompt engineering to fine-tune LLM interactions for better user engagement and product search efficiency.
● Collaborate with engineers, product managers, and business stakeholders to align AI-driven solutions with business objectives.
● Continuously analyze and improve models based on user behavior data, A/B testing, and performance metrics.
● Research and implement state-of-the-art AI methodologies in e-commerce search and personalization.
Qualifications & Skills
● Bachelors/Master’s in Computer Science, Data Science, AI, or a related field.
● 2+ years of experience in data science, ML, or AI.
● Strong experience with search ranking algorithms, recommendation, or product discovery models.
● Expertise in NLP techniques, including text embeddings, topic modeling, and transformer-based
architectures.
● Proficiency in image processing & classification, including CNNs, Vision Transformers, and multi-models.
● Hands-on experience with Big Query ML (BQML) API for model training and deployment.
● Knowledge of prompt engineering and fine-tuning LLMs for optimizing search and recommendations.
● Strong programming skills in Python, SQL, and ML frameworks (Tensor Flow, Py Torch, Scikit-learn,
Hugging Face, etc.).
● Experience with Google Cloud Platform (GCP), Big Query, and data pipeline orchestration.
● Familiarity with A/B testing and experimentation frameworks.
● Excellent problem-solving skills, analytical thinking, and the ability to work in a fast-paced environment.
Tackle unique linguistic challenges in the MENA region, including handling mixed-script queries (Arabizi), transliteration, and multilingual semantic matching to reduce null-result rates.
Preferred Qualifications
● Experience in e-commerce or retail analytics.
● Familiarity with vector search and semantic search technologies.
Deep understanding of Information Retrieval (IR) concepts, including inverted indices, vector search, query expansion, and tokenization strategies.
● Understanding of multi-modal AI techniques (text + image + metadata fusion).
● Prior experience with LLM fine-tuning and retrieval-augmented generation (RAG).
Why Join Us?
● Work on cutting-edge AI/ML applications in e-commerce.
● A dynamic and innovative work environment with cross-functional collaboration.
● Opportunities for career growth and upskilling in the latest AI trends.
● Competitive compensation and benefits package.
If you are passionate about AI-driven e-commerce solutions and love solving complex data challenges, apply now
and be a part of our growing AI & Data Science team!
Location: Gurugram, India
About the Role
We are looking for a highly skilled Data Scientist to join our growth analytics team and enhance product discoverability and shopability through advanced machine learning and AI techniques. Your primary focus will be on improving our sorting algorithms across both search and non-search routes, leveraging NLP to extract insights from product text details, and integrating image processing & classification models. Additionally, you will work with LLMs, BQML API integration, and prompt engineering to enhance our recommendation and search capabilities.
Key Responsibilities
● Develop and optimize sorting algorithms for product ranking across different user journeys (search & non-search-based routes).
● Implement NLP techniques to extract context and valuable insights from product titles, descriptions, and reviews to improve product discoverability.
● Apply image processing and classification techniques to enhance product categorization and improve search relevance.
● Work with Large Language Models (LLMs) to refine product search, recommendations, and customer interactions.
● Integrate Big Query ML (BQML) API to develop, deploy, and monitor ML models at scale.
● Conduct prompt engineering to fine-tune LLM interactions for better user engagement and product search efficiency.
● Collaborate with engineers, product managers, and business stakeholders to align AI-driven solutions with business objectives.
● Continuously analyze and improve models based on user behavior data, A/B testing, and performance metrics.
● Research and implement state-of-the-art AI methodologies in e-commerce search and personalization.
Qualifications & Skills
● Bachelors/Master’s in Computer Science, Data Science, AI, or a related field.
● 2+ years of experience in data science, ML, or AI.
● Strong experience with search ranking algorithms, recommendation, or product discovery models.
● Expertise in NLP techniques, including text embeddings, topic modeling, and transformer-based
architectures.
● Proficiency in image processing & classification, including CNNs, Vision Transformers, and multi-models.
● Hands-on experience with Big Query ML (BQML) API for model training and deployment.
● Knowledge of prompt engineering and fine-tuning LLMs for optimizing search and recommendations.
● Strong programming skills in Python, SQL, and ML frameworks (Tensor Flow, Py Torch, Scikit-learn,
Hugging Face, etc.).
● Experience with Google Cloud Platform (GCP), Big Query, and data pipeline orchestration.
● Familiarity with A/B testing and experimentation frameworks.
● Excellent problem-solving skills, analytical thinking, and the ability to work in a fast-paced environment.
Tackle unique linguistic challenges in the MENA region, including handling mixed-script queries (Arabizi), transliteration, and multilingual semantic matching to reduce null-result rates.
Preferred Qualifications
● Experience in e-commerce or retail analytics.
● Familiarity with vector search and semantic search technologies.
Deep understanding of Information Retrieval (IR) concepts, including inverted indices, vector search, query expansion, and tokenization strategies.
● Understanding of multi-modal AI techniques (text + image + metadata fusion).
● Prior experience with LLM fine-tuning and retrieval-augmented generation (RAG).
Why Join Us?
● Work on cutting-edge AI/ML applications in e-commerce.
● A dynamic and innovative work environment with cross-functional collaboration.
● Opportunities for career growth and upskilling in the latest AI trends.
● Competitive compensation and benefits package.
If you are passionate about AI-driven e-commerce solutions and love solving complex data challenges, apply now
and be a part of our growing AI & Data Science team!
Apply for this Position
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