Data Scientist Junior & Senior

NTT DATA
Barcelona, Spain
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Barcelona, Spain

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Azure
Big Data
Google BigQuery
Data as a Services
Data Systems
Relational Databases
Python
Machine Learning
Power BI
SQL Databases
Tableau
Google Cloud Platform
Data Storage Technologies
Snowflake
Spark
Information Technology
Streamlit Framework
Databricks

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.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.Machine Learning, optimization and advanced analytics techniquesWork with team members across multiple disciplines to understand the dataDescriptive 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.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.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!At NTT Data, we believe everyone is unique and different, this is why we bet for an inclusive culture that recognizes and values diversity.

Requirements

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. 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. 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. 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.

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