Data Scientist Senior - GenAI Solutions
The ideal candidate as Senior Data Scientist in NTT DATA will have a mix of skills including Generative AI hands-on capability (preferably on Azure/GCP and on-premise) engineering best practices, statistical expertise, Machine and Deep Learning skills and a strong business sense. Your contribution in this role:
- Collaborate with data scientists, data engineers, ML Engineers, product managers, business analysts, and stakeholders from internal teams and external clients
- Manage multiple projects simultaneously
- Lead and coordinate the Data Scientists involved in the projects
- Act as the main point of contact with client-side stakeholders
- Ensure that project tasks are delivered on time and executed to a high standard
The ideal profile
- Experience of at least 3-5 years as data scientist;
- Strong Python (mandatory) and SQL coding;
- Knowledge of Java/Scala or C++/R is a plus;
- Tensorflow and Pytorch knowledge with a focus over Computer Vision solutions;
- Knowledge of ML solutions architecture and Generative AI pipelines;
- Cloud and hybrid ML implementations;
- Incorporate new, cutting edge business intelligence, machine learning, and alternative data practices into wider organization to drive efficiencies and generate revenue;
- Own the full stack execution of data science projects from data wrangling, model development, presentation, measuremen
- Collaborate with data scientists, data engineers, ML Engineers, product managers, business analysts, and stakeholders from internal teams and external clients
- Manage multiple projects simultaneously
- Lead and coordinate the Data Scientists involved in the projects
- Act as the main point of contact with client-side stakeholders
- Ensure that project tasks are delivered on time and executed to a high standard
The ideal profile
- Experience of at least 3-5 years as data scientist;
- Strong Python (mandatory) and SQL coding;
- Knowledge of Java/Scala or C++/R is a plus;
- Tensorflow and Pytorch knowledge with a focus over Computer Vision solutions;
- Knowledge of ML solutions architecture and Generative AI pipelines;
- Cloud and hybrid ML implementations;
- Incorporate new, cutting edge business intelligence, machine learning, and alternative data practices into wider organization to drive efficiencies and generate revenue;
- Own the full stack execution of data science projects from data wrangling, model development, presentation, measuremen