Posted:3 weeks ago|
Platform:
Work from Office
Full Time
bachelors degree in computer science or a related fieldOR masters degree in statistics, economics, business economics, econometrics, or operations research. 3-8 years of experience in the Analytics/Data Science domain. Experience with Generative AI techniques and tools. Familiarity with ETL methods, data imputation, data cleaning, and outlier handling. Familiarity with Azure cloud platform and AI/ML services. Knowledge of databases and associated tools such as SQL. Technical Skills - Desirable: Expertise in NLP and Generative AI methods like Prompt design, Retrieval Augmented Generation (RAG) Multi-agent frameworks, and Evaluation frameworks. Proficiency in programming languages such as Python. Technical Skills - Good to Have: API development Deployment of GenAI applications Specific Responsibilities Requirement Gathering: Translate business requirements into actionable analytical plans. Ensure alignment with the customer s strategic objectives. Data Handling: Identify appropriate data sources to address business problems. Resolve data discrepancies, including ETL tasks, missing values, and outliers. Development and Execution: Deliver projects and POC initiatives from inception to completion. Develop and refine technical and analytics architecture. Implement scalable analytical frameworks and data pipelines. Coordinate with cross-functional teams. Deliver production-ready models and solutions. Monitor success metrics and ensure high-quality output. Create and maintain documentation/reports. SKILLS Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Python, ETL, AI/ML Development, Data Science, SQL, Azure Analysis Service, Analytics Development, NLP
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