Data Scientist

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, expected to independently function

 

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 and Abilities

 

Education

Bachelor’s degree in computer science, information technology or equivalent educational qualification

Experience

 

 5-8+ years of relevant experience

Technical Skills

 

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

Communication skills, analytical skills, structured problem-solving skills.,

Partner, Stakeholder engagement experience.

 

Good To have

Azure ML or cloud AI/ML Services

ML Ops