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Principal Data Scientist - Search

Principal Data Scientist - Search

ConfidentialBengaluru / Bangalore, Chennai
30+ days ago
Job description

We are seeking a talented Principal Data Scientist to lead the development of Product Search and Recommendation systems. The ideal candidate will have a strong background in natural language processing (NLP), machine learning, deep learning, and semantic understanding, and will be passionate about transforming the way users discover relevant content. As a Principal Data Scientist, you will be responsible for driving the vision and strategy for Ecommerce search and personalized recommendation systems, leveraging state-of-the-art techniques such as transformer models, embeddings, and knowledge graphs. You will collaborate closely with product teams, engineers, and business stakeholders to enhance user experience and business outcomes.

Roles & Responsibilities

Leadership & Strategy

  • Lead the development of cutting-edge Search and recommendation algorithms that improve relevance, personalization, and user engagement.
  • Define and execute the strategy for semantic understanding and recommendations, aligning with overall business goals.
  • Work cross-functionally with product managers, engineers, and data scientists to drive the roadmap for search and recommendation improvements.

Search & NLP Expertise

  • Lead the design and implementation of Search / Recommendation models that go beyond traditional keyword matching to understand user intent and context.
  • Apply advanced NLP techniques such as transformers (BERT, GPT, T5), word embeddings, and contextualized word representations to enhance search relevance.
  • Use techniques like sentence embeddings, document embeddings, and similarity measures to build scalable search systems that understand semantic meaning.
  • Model Development & Experimentation

  • Conduct research and experiments to design, develop, and validate new Search models and Recommendation techniques.
  • Continuously test, measure, and optimize models through A / B testing, real-time metrics, and user feedback loops.
  • Develop approaches to handle large-scale data, ensuring the models can be deployed efficiently in production environments.
  • Collaboration & Mentorship

  • Lead and mentor a team of data scientists, guiding them in the development of semantic models and complex recommendation algorithms.
  • Foster a culture of knowledge sharing and collaboration across teams to ensure that the best practices are followe'd in model development and deployment.
  • Collaborate with engineers & product managers to ensure the effective integration of models into scalable production systems.
  • Thought Leadership

    Stay up to date with the latest research in Search, NLP, and recommendation systems.

    Evangelize the use of cutting-edge techniques within the company to drive innovation in search and recommendations.

    Years of Experience

  • 8 years of experience executing and deploying data science, machine learning, deep learning, and generative AI solutions, preferably in a large-scale enterprise setting (fewer years may be accepted with a masters or doctorate degree)
  • 8 years of programming experience (fewer years may be accepted with a masters or doctorate degree)
  • 5 years of SQL experience and knowledge of various statistical modeling or machine learning techniques
  • Bachelors degree in mathematics, statistics, physics, economics, engineering, computer science, data or information science, or related quantitative analytic field (or equivalent work experience in lieu of degree)
  • Candidates with Doctorate or masters degree are preferred
  • Education Qualification & Certifications

    bachelors degree (Required) : Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field (or equivalent work experience in a related field)

    Doctorate Degree (Preferred) : Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field

    Skill Set Required

    Machine Learning & AI

  • Supervised / unsupervised learning (eg, regression, clustering)
  • Deep learning (CNNs, RNNs, Transformers)
  • Natural Language Processing (NLP) for search relevance
  • Experience with generating vector embeddings
  • Statistical & Mathematical Expertise

    Probability, statistics, and A / B testing

    Leadership & Collaboration

  • Cross-functional team collaboration (engineering, product, design)
  • Mentoring junior data scientists
  • Communicating technical concepts to non-technical stakeholders
  • Tools & Frameworks

  • Programming (Python, R, Scala)
  • ML frameworks (TensorFlow, PyTorch, scikit-learn)
  • Version control (Git)
  • Performance Evaluation

  • Model evaluation using metrics (precision, recall, NDCG)
  • Online learning and incremental model updates
  • Understanding of Data Engineering & Infrastructure

  • Big data technologies (Apache Spark, Hadoop)
  • Data pipeline management (ETL processes)
  • Database management (SQL, NoSQL, Elasticsearch)
  • Cloud platforms (AWS / GCP / Azure)
  • Role :   Data Scientist

    Industry Type :   Retail

    Department :   Data Science & Analytics

    Employment Type :   Full Time, Permanent

    Role Category :   Data Science & Machine Learning

    Education

    UG :   Any Graduate

    PG :   Any Postgraduate

    Skills Required

    Machine Learning, Gcp, Continuous Improvement, Natural Language Processing, Version Control, Product Design, Testing, Sql, Python

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