Data Scientist - I

Position Summary:

Role Value Proposition:

Data Scientist plays a critical role in data and analytics life cycle and significantly contributes to production grade data and analytics solutions. The role requires one to demonstrate analytical skills, machine learning. It is an individual contributor role.

Job Responsibilities:

• Design, build, validate and deploy production grade rule-based & machine learning models using structured and unstructured data
• Perform exploratory data analysis, feature engineering 
• Monitor, evalulate and improve model performance.
• Ensure model development follows quality, secutiry , compliance, explaiability and responsible use of AI guidelines
• Collaborate with multiple partners from Business,Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI & insights)

Knowledge, Skills & Abilities:

• 3-5 years of experience into Data Science field
• Python 
• Statistics, hypothesis testing, Feature engineering, Modeling
• Machine learning frameworks: SCikit-learn, Tensorflow,          Pytorch, 
• Natural language processing (NLP): spacy, Transformers, OCR
• Generative AI: Large language Models, prompt engineering
• Azure ML or cloud AI/ML Services (Good to have)
• Communication skills, analytical skills, structured problem-solving skills.