DATA SCIENTIST / SENIOR DATA SCIENTIST

Job description: NTT DATA is seeking a passionate Data Scientist / Senior Data Scientist to join our AI team. This is a fantastic opportunity to work alongside brilliant minds in data science, where you can learn and enrich yourself in a dynamic and innovative environment, leveraging cutting-edge Artificial Intelligence techniques to drive forward-thinking solutions in a company that's at the forefront of technological advancement., * Collaborate with cross-functional teams to understand business needs and translate them into data science projects.

• Design, develop, and deploy machine learning models and algorithms to solve complex business problems.
• Conduct data analysis and visualization to communicate insights and recommendations to stakeholders.
• Stay updated with the latest trends and advancements in data science and AI, and apply them to improve existing processes and solutions.
• Mentor junior data scientists (for Senior positions) and contribute to a culture of continuous learning and improvement within the team.

Join our dynamic and passionate team at a leading technology and services company!

Send in your application and start making your mark on the future of the industry today!

At NTT Data, we believe everyone is unique and different, this is why we bet for an inclusive culture that recognizes and values diversity. We work day after day to create an environment in wich we can explore, live and enhance our own singularity.

Qualifications: Bachelor's or master's degree in mathematics, Statistics, Informatics Engineering, Economics, or Physics. Courses in Artificial Intelligence, Analytics, Big Data, or similar fields are a plus.

Experience: For junior: A minimum of 1 year of experience in Data Science or related fields. For senior: A minimum of 3 years of experience in Data Science or related fields.

Skills:

• Required:
• Machine Learning, optimization and advanced analytics techniques
• Work with team members across multiple disciplines to understand the data
• Descriptive and exploratory statistics applied to detecting patterns and trends in data.
• Advanced knowledge in Python.
• SQL and relational databases.
• Visualization and communication with clients, mastering tools such as PowerBI, Tableau, Dash, Streamlit, etc.
• Valuable:
• Experience using Git
• NLP, Generative AI, Deep Learning, methaeuristic algorithms
• Experience working with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services, including data storage, processing, and machine learning capabilities.
• Big Data technologies: Spark, Big Query, Snowflake, Databricks, etc.