Data Scientist

Our customer’s Digital and eCommerce division is looking to transform the Digital and eCommerce technology engine. As a Data Scientist – eCommerce Search, you will play pivotal role in building the next generation of intelligent, high-performing search experiences for our global eCommerce platforms and build new features and components in our evolving platform, helping to embrace with search metrics, dashboards, model fine tuning.

• Machine Learning Model Development:
  Design, train, and evaluate ranking models (learning-to-rank, neural networks, embedding-based approaches) to optimize search relevance and personalization.
• Search Query Analysis:
  Analyze search query logs, evaluate user behavior data to identify opportunities for relevance improvements and inform ranking strategies.
• Search Engine Tuning:
  Optimize Elasticsearch/Lucene configurations, including tokenization, stemming, query parsing, and lexical search algorithms (BM25) to work in concert with ML models.
• ML Pipeline Development:
  Build and maintain end-to-end ML pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment using MLOps best practices.
• Performance Monitoring & Iteration:
  Monitor search and ML model performance metrics in production; identify drift and continuously improve models based on new data and domain insights.

• Bachelor’s degree in computer science, Engineering, Data Science, or a related quantitative field
• 5 years of hands-on experience in machine learning, data science, search relevance, or ranking systems.
• Proven expertise in Python and ML frameworks (MLFlow, Tensor Flow, PyTorch, Scikit-learn, or equivalent).
• Experience with feature engineering, data preprocessing, and data manipulation libraries (Pandas, Num Py, Spark).
• Demonstrated experience building or working with ranking models (learning- to-rank, neural ranking, or similar).
• Deep understanding of search engines (Elasticsearch, Solr, Open Search), lexical search algorithms (BM25), information retrieval concepts, search relevance tuning, tokenization, stemming, and query parsing.

YASH Technologies is a leading global technology services and solutions provider, helping organizations reimagine operating models, enhance competitiveness, optimize costs, and drive business transformation. With nearly three decades of experience and a strong “glocal” approach, YASH combines deep local engagement with a world's class portfolio of services, solutions, and products. We are trusted by numerous Fortune 500 clients worldwide. With 8,000+ employees across 43 global campuses in North America, Europe, APAC and MEA, YASH offers a dynamic environment where innovation, collaboration, and authenticity drive success.

Recognized as a Great Place to Work for 11 years, YASH empowers professionals to lead smarter, aim higher, and transform businesses through technology.