Data Scientist (m/f/d)

Create a better #TomorrowWithUs 🚀

At Siemens, we build technology solutions to shape the world we live in. We transform industries and societies by combining the real and digital worlds. With over 300.000 of the world’s most forward-thinking minds and the power of a presence in more than 190 countries, we make a truly global impact.

At the Portugal Tech Hub, we take on challenges to make life easier, safer, and more sustainable for us and generations to come. We bring value to the business digitalization transition, from Portugal to the world, in areas such as Artificial Intelligence, Analytics & Business Intelligence, Application Lifecycle Management, Cybersecurity, IT Infrastructure Management, IT Project & Service Management, IT Strategy, User Experience, and many more.

With a decade of history and around 1.600 experts, the Portugal Tech Hub is the [1] home of the new technologists - Dream Builders, Impact Creators & Future Makers.

Siemens is seeking a talented and motivated Data Scientist to join our innovative team. In this role, you will be instrumental in developing and deploying data-driven solutions that address complex business challenges. We are looking for a professional with a strong foundation in data science, a passion for continuous learning, and a collaborative spirit.

Key Responsibilities:

• Data Science & Machine Learning:
• Design, develop, and implement machine learning and deep learning models to solve real-world problems.
• Perform exploratory data analysis, feature engineering, and model evaluation to ensure robust and accurate solutions.
• Translate complex analytical findings into clear, actionable insights for stakeholders.
• Software Engineering & Development:
• Apply software engineering best practices to build scalable, maintainable, and production-ready data science solutions.
• Develop and optimize Python-based data pipelines and analytical tools, leveraging data science libraries and frameworks.
• Collaborate with software engineers to integrate data science models into existing systems and applications.
• Data & Analytics:
• Work with large and complex datasets, utilizing platforms like Snowflake for data extraction, transformation, and loading (ETL).
• Contribute to the development and enhancement of data products, ensuring data quality, accessibility, and usability.
• Understand and implement data governance principles to maintain data integrity and compliance.
• Collaboration & Communication:
• Actively participate in agile development frameworks (Scrum, Kanban) to deliver iterative solutions.
• Collaborate effectively with cross-functional teams, including product managers, engineers, and business stakeholders.
• Clearly communicate technical concepts and results to both technical and non-technical audiences.
  
  

Required Skills & Qualifications:

• Education: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
• Experience: 3+ years of professional experience in a Data Scientist or similar role.
• Technical Proficiency:
• Strong programming skills in Python, with extensive experience in data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Proficiency in SQL and experience working with relational and non-relational databases, particularly Snowflake.
• Familiarity with software engineering principles, including version control (Git), testing, and deployment.
• Understanding of machine learning and deep learning algorithms, model training, and evaluation techniques.
• Mindset & Soft Skills:
• Growth Mindset: Eagerness to learn new technologies, methodologies, and continuously improve skills.
• Agile Frameworks: Proven experience working within agile development environments.
• Team Spirit: Excellent collaboration and interpersonal skills, with a strong ability to work effectively in a team-oriented setting.
• Communication: Fluent in English, with excellent written and verbal communication skills.
  
  

Are you one of them? Come join us! ⭐

What makes us proud as an employer:

• Merco - Companies and Leaders with the Best Reputation in Portugal (#1 Tecnology/Manufacturing)
• Forbes - World’s Best Employers (#1 Engineering & Manufacturing)
• LinkedIn - LinkedIn Top Companies (#2)
• OnStrategy - REPSCORE 2024: Brands’ Reputation in Portugal (#1 Engineering & Electronic Services)
• Fortune - World’s Most Admired Companies (#1 Industrial Machinery)
• Teamlyzer - Company with the Best Interviews (#1 Technology)
  
  

Please attach your CV in English.

#Siemens #PortugalTechHub

Siemens is committed to creating a diverse environment and is glad to be an equal opportunity employer. We strongly encourage applications from a diverse talent pool!