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Data Scientist (AI & ML)

Mashreq Bank

Portugal

Presencial

EUR 40 000 - 60 000

Tempo integral

Hoje
Torna-te num dos primeiros candidatos

Resumo da oferta

A global technology leader is seeking a passionate Data Scientist to join their team. The role involves data analysis, model development, and collaboration with cross-functional teams. Ideal candidates will hold a Master's or Ph.D. in a relevant field and possess strong programming skills in languages like Python, R, or Java. This position offers a unique opportunity to work on cutting-edge projects that shape a sustainable future in technology.

Serviços

Inclusive work environment
Opportunities for personal growth

Qualificações

  • You should have a Master's or Ph.D. in a relevant field.
  • Proficiency in programming languages like Python, R or Java is essential.
  • Strong knowledge of machine learning techniques and frameworks is required.

Responsabilidades

  • You will collect, clean, and analyze large datasets.
  • Develop and implement machine learning models to solve challenges.
  • Collaborate with teams to translate business needs into solutions.

Conhecimentos

Data analysis
Machine learning techniques
Programming in Python/R/Java
Data manipulation
Problem-solving
Communication skills
Teamwork
Analytical thinking

Formação académica

Master's or Ph.D. in Computer Science, Data Science or related field

Ferramentas

TensorFlow
PyTorch
scikit-learn
Descrição da oferta de emprego
Overview

Siemens is a global technology powerhouse that has been at the forefront of innovation for over 170 years. With a presence in more than 200 countries and a diverse portfolio of products and services, Siemens is dedicated to shaping a sustainable future through cutting-edge technologies in electrification, automation, and digitalization.

Responsibilities
  • Data Analysis: You will be responsible for collecting, cleaning, and analyzing large datasets to extract meaningful insights that will drive business decisions.
  • Model Development: Develop and implement state-of-the-art machine learning models and algorithms to solve real-world challenges in various industries.
  • Collaboration: Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.
  • Research: Stay up-to-date with the latest advancements in AI & ML and actively contribute to Siemens\' thought leadership in the field.
Required Skills / Qualifications
  • Educational Background: A Master\'s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
  • Programming: Proficiency in programming languages such as Python, R, or Java.
  • Machine Learning: Strong knowledge of machine learning techniques and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Data Manipulation: Experience with data preprocessing, cleaning, and visualization.
  • Problem-Solving: Exceptional problem-solving skills and the ability to think critically.
  • Communication: Strong communication skills to convey complex technical concepts to non-technical stakeholders.
  • Team Player: Ability to work effectively in a collaborative, cross-functional environment.
  • Analytical Thinking: Excellent analytical skills with attention to detail.
Why Siemens

At Siemens, we offer an inclusive and diverse work environment that fosters creativity, innovation, and personal growth. You will have the opportunity to work on cutting-edge projects, collaborate with experts in the field, and make a significant impact on industries that shape the future.

If you are a passionate Data Scientist with a drive for excellence and innovation, we invite you to join our team at Siemens and be part of our mission to create a sustainable and technology-driven future.

Apply now and be a part of something big!

URL for more information and application: Siemens Data Scientist (AI & ML)

Siemens is an equal opportunity employer and welcomes applications from candidates of all backgrounds. We are committed to creating a diverse and inclusive workplace where everyone\'s unique skills and perspectives are valued.

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