Virtusa
Architect (ATC)
Job Description
We need someone with at least 7to 10 years of relevant experience in data science and/ or analytics with consulting / banking / fintech or similar organisation.
You will need evidence of previous project implementation and work experience gained in a data analysis related field as part of a multidisciplinary team.
Additionally, you will hold a degree in engineering / quantitative discipline or have evidence of equivalent practical experience.
You'll have experience with Python / R based data science development using standard data science libraries and big data processing frameworks, as well as experience of the software development and use of CI/CD tools like Git etc.
Additionally, you will need
Experience with data science software (Python / R), database languages (SQL / BiqQuery / NoSQL etc), big data technologies and cloud environments (GCP / AWS / Azure etc.)
Experience articulating and translating business questions and using data science techniques, such as supervised and unsupervised ML, Deep Learning, NLP and Recommender models, to arrive at an answer using available data.
Relevant work experience, including statistical data analysis such as linear models, multivariate analysis, anomaly detection, missing data amputation and sampling methods etc.
Understanding (conceptual) of latest approaches in AI / NLP like BERT/GPT, Transfer Learning, Gen AI, Prompt Engg, Vector DB, etc.
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