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Role: Senior Data Scientist
Experience: 3 to 5 years.
About the role:
You'll work on the core ranking and retrieval systems behind search, optimizing how user queries map to the product catalog at scale.
What you'll do:
• Develop search ranking models (learning-to-rank, neural ranking, hybrid)
• Improve query understanding:
-Tokenization, normalization, semantic matching
- Embeddings (dual encoders, semantic search)
• Work with implicit feedback signals (click models, dwell time, conversions)
• Design and evaluate ranking metrics (NDCG, MAP, CTR, CVR)
• Run controlled experiments to improve relevance
Current challenges:
• Moving beyond lexical search → semantic retrieval
• Handling long-tail queries and ambiguous intent
• Balancing relevance vs business objectives Tech stack (indicative)
• Python, SQL • Elasticsearch / OpenSearch (or similar)
• ML frameworks (XGBoost, LightGBM, DL models)
What we're looking for
• Experience in search, ranking, or information retrieval
• Strong feature engineering and modeling skills
• Understanding of trade-offs between offline metrics and online impact
• Product intuition around search UX
Preferable experience in recommender systems or ranking problems
Job ID: 149377757
Skills:
Tensorflow, Pandas, Pytorch, Hadoop, Spark, Python, Sql, Google Cloud, AWS, Scikit-learn
Skills:
Pyspark, Machine Learning, Azure Databricks, Regression Analysis, Python, GLM Pricing Models, scikit-learn, MLlib, h2o, R, Data Analysis, Statistical Modeling
Skills:
snowflake , Ml, Sql, Tensorflow, Deep Learning, Nlp, MLops, Pytorch, Gcp, Docker, Azure, Kubernetes, Python, AWS, Generative AI, LangFuse, cloud platforms, Ai, MLflow, LangSmith, Agentic AI, Kubeflow, LLMOps tools
Skills:
Cloud computing - AWS, bagging , Machine Learning, Sql, Git, Spark, Databricks, Neural Nets, Python, ML algorithms, ML experimentation and evaluation tools, Boosting, Data visualization and reporting tools
Skills:
Tensorflow, Nlp, Pytorch, Docker, Python, Azure ML, Kubernetes, vector search, SAM, Pinecone, CI CD, Whisper, cloud ML stacks, Vertex AI, video transformers, LLaVA, multimodal LLM frameworks, LangChain, ViT, speech models, BLIP, SageMaker, Cv, FAISS, Weaviate, LlamaIndex
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