DATA SCIENTIST
hace 1 día
Job description: NTT DATA is seeking a passionate Data Scientist with expertise in optimization algorithms 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. ¿Es este el puesto que está buscando? Si es así, siga leyendo para obtener más detalles y no olvide enviar su solicitud hoy mismo. 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: A minimum of 2 years of experience in projects implementing optimization algorithms, operations research or metaheuristics. Skills: Required: Deep knowledge in classical and metaheuristic optimization algorithms such as Genetic Algorithms (GA), PSO, SA, etc. 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. English fluency Availability to travel 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. Key Responsibilities: Develop and implement classical and metaheuristic optimization algorithms such as Genetic Algorithms (GA), PSO, SA, etc. . Solve complex mathematical problems by designing and implementing custom optimization solutions. Translate complex business rules into mathematical constraints for optimization problems. xsgfvud Collaborate with stakeholders to understand requirements and design solutions tailored to specific operational challenges.
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