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Responsibilities
The ideal candidate for the Senior Data Scientist position at NTT DATA will possess a diverse skill set including hands-on experience with Generative AI (preferably on Azure/GCP and on-premise), engineering best practices, statistical expertise, and skills in Machine Learning and Deep Learning. A strong business sense is also essential.
The Senior Data Scientist will collaborate with fellow data scientists, data engineers, ML engineers, product managers, business analysts, and stakeholders from both internal teams and external clients.
They will be responsible for managing multiple projects, leading data science teams, and liaising with stakeholders to ensure timely and quality execution of tasks.
Required Skills
* Experience of at least 3-5 years as a data scientist
* Proficiency in Python (mandatory) and SQL
* Knowledge of Java/Scala or C++/R is a plus
* Experience with TensorFlow and PyTorch, focusing on Computer Vision solutions
* Understanding of ML solutions architecture and Generative AI pipelines
* Experience with cloud and hybrid ML implementations
* Ability to incorporate new business intelligence, machine learning, and data practices to improve efficiency and revenue
* Ownership of the full lifecycle of data science projects from data wrangling to deployment
* Collaboration with data engineers to produce production-ready pipelines including data ingestion, cleaning, feature engineering, and model training/prediction
* Conduct research and analysis into reinsurance and advisory products to enhance industry models and develop new offerings
* Establish and maintain strong relationships with internal teams and external clients
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