Data Scientist (AI ML)

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Published 1 month ago by Athor Christensen
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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.

Job Description:

Are you passionate about leveraging the power of artificial intelligence and machine learning to drive innovation and solve complex problems? Siemens is seeking a highly skilled and motivated Data Scientist to join our team and contribute to our groundbreaking work in the field of AI ML.

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:

To excel in this role, you should possess the following skills and 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. Read more

Published on 2025/09/10. Modified on 2025/09/10.

Description

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.

Job Description:

Are you passionate about leveraging the power of artificial intelligence and machine learning to drive innovation and solve complex problems? Siemens is seeking a highly skilled and motivated Data Scientist to join our team and contribute to our groundbreaking work in the field of AI ML.

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:

To excel in this role, you should possess the following skills and 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.
Athor Christensen
Athor Christensen
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