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Tier-1 brand, generic Data Scientist title, metro location, mid-level and broad skillset increase competition.
Core ML and GenAI skills transferable across industries, but platform and RAG expertise slightly increase domain specificity.
Multiple mandatory ML, GenAI, and AWS/SageMaker platform skills increase resume filtering strictness.
Develop and implement advanced AI/ML models including predictive analytics, time-series forecasting, anomaly detection, and classification.
Utilize programming skills in Python, SQL, and/or JavaScript frameworks (React/Angular) to build data-driven solutions.
Leverage cloud platforms such as AWS and SageMaker for deploying machine learning and generative AI models (LLMs, prompt engineering, RAG, etc).
Proficient in advanced Python and SQL or JavaScript frameworks (React/Angular).
Experience with AI/ML techniques including machine learning, predictive analytics, time-series forecasting, anomaly detection, classification.
Familiarity with generative AI technologies including large language models (LLMs), prompt engineering, and related tools.
Work Experience Required: Not explicitly mentioned in the JD
Comfortable working across the end-to-end AI/ML lifecycle including statistical analysis, data modeling, feature engineering, and visualization.
Experienced with cloud AI/ML platform tools, specifically AWS and SageMaker for production deployment.
Capable of integrating generative AI and LLM technologies into data science solutions in a business context.