Senior Data Scientist

Your Qualifications

• Bachelor's with ? 7 years of relevant experience OR Masters with ? 5 years of relevant experience OR PHD in Comp Science/Statistics/Mathematics with ? 3 years of relevant experience
• Experience in Analyzing the Complex Problems and translate it into data science algorithms
• Experience in machine learning, supervised and unsupervised: NLP, Classification, Data/Text Mining, Multi-modal supervised and unsupervised models, Neural Networks, Deep Learning Algorithms
• Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions, Topic Modeling
• Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data
• Embedding generation from training materials, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance.
• Lead role mentoring multiple Jr. Analysts on approach and results.
• Strong Experience in Python, PySpark
• Google Cloud platform , Vertex AI, Kubeflow, model deployment
• Strong Experience with big data platforms Hadoop (Hive, Map Reduce, HQL, Scala)

Additional Preferred Qualifications:

• Domain Knowledge of one or more divisions in Retail.
• Published papers or given talks in leading academic and research journals.
• Experience with big data platforms - Hadoop(Hive, Pig, Map Reduce, HQL) / Spark
• Experience in deep learning and worked in TensorFlow and Torch
• Experience with GPU/CUDA for computational efficiency