Principal Data Scientist
Primary Skills
ML & GenAI Expertise – LLMs (GPT, RAG), NLP, Deep LearningMLOps & Deployment – Model lifecycle management, CI/CD, monitoringData Engineering – Scalable data pipelines, big data tools (Databricks/Spark)Programming – Python, SQL, TensorFlow/PyTorchLeadership – Team mentoring, AI strategy, stakeholder collaboration.Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements
Education: Bachelor’s or Master’s Degree in Computer Science, IT, Engineering, or related fields.Experience:Overall 12+ years of experience, including 2+ years in delivering AI-powered products.Minimum 2 years of dedicated Product Management experience.At least 1 year of experience with GPT/LLM model development (pre-processing, feature selection, hyper-parameter tuning).Technical Expertise:Hands-on experience with Agentic AI and Graph RAG solutions.Skilled in developing and training GPT/LLM models for applications such as chatbots, Q&A systems, and recommendation engines.Strong background in data analysis, pre-processing, feature engineering, and model selection to deliver accurate models efficiently.Continuous monitoring and iteration to improve model accuracy and performance based on feedback.Collaboration & Leadership:Work closely with cross-functional teams to define product requirements and develop GPT/LLM use cases.Define and align the vision for Data/AI use cases with senior leadership for medium- and long-term goals.Soft Skills:Strong analytical, strategic thinking, problem-solving, and project management skills.Exceptional attention to detail, ability to innovate, and address challenges at both macro and micro levels.
