Senior Data Scientist (m/f/d)

ID da vaga

491267

Publicado desde

13-Jan-2026

Organização

Smart Infrastructure

Área de trabalho

Information Technology

Empresa

Siemens S.A.

Nível de experiência

Profissional Experiente

Anúncio da vaga

Tempo Integral

Modo de trabalho

Apenas escritório/presencial

Tipo de contrato

Permanente

Localização

Amadora - - Portugal
Porto - - Portugal

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 home of the new technologists - Dream Builders, Impact Creators & Future Makers.

Are you one of them? Come join us! ⭐

Are you a passionate Data Scientist eager to transform complex data into actionable insights and drive innovation in the realm of smart infrastructure? Siemens Smart Infrastructure IT Value Center, Data Intelligence & Automation (DIA) is seeking a highly skilled and forward-thinking Data Scientist to join our dynamic team. In this pivotal role, you will be instrumental in leveraging cutting-edge AI tools, developing robust data products, and optimizing our data landscape to deliver tangible business value and shape the future of intelligent solutions.

Key Tasks / Responsibilities

• Develop and implement sophisticated machine learning models and algorithms to extract valuable insights from large, diverse data sets

• Collaborate with business leaders to understand their data and analytics needs, and translate them into effective data science solutions

• Mentor and guide junior data scientists, providing technical guidance and career development support

• Stay up-to-date with the latest trends and advancements in data science, machine learning, and artificial intelligence, and recommend innovative approaches to enhance the company's analytical capabilities

• Communicate complex technical concepts to non-technical stakeholders, presenting findings and recommendations in a clear, compelling manner

• Ensure data integrity, model accuracy, and overall quality of data science deliverables

• Contribute to the development and enhancement of the company's data science infrastructure and tools

Qualifications:

• Advanced degree (Master's or PhD) in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline

• Excellent English communication skills, with the ability to liaise effectively between technical and non-technical stakeholders.

• Minimum 7-10 years of hands-on experience as a data scientist or in a similar role, preferably in a multinational, fast-paced environment

• Proven expertise in machine learning, deep learning, and other advanced analytical techniques, with a strong understanding of their practical applications

• Proficiency in programming languages such as Python, R, or Scala, and experience working with big data technologies (e.g., Hadoop, Spark, Kafka)

• Excellent problem-solving, critical thinking, and communication skills, with the ability to translate complex data insights into actionable business recommendations

• Experience leading and mentoring data science teams, and a track record of driving impactful projects

• Strong business acumen and the ability to align data science initiatives with organizational goals

• Snowflake Proficiency: Strong experience with Snowflake for data warehousing, data manipulation, and performance optimization.

• Familiarity with data visualization tools (e.g., Tableau, Power BI, etc) and experience in presenting data-driven insights to stakeholders

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!

Detalhes da vaga