Job Family: Information Technology

Req ID: 399201

Siemens Global Business Services (GBS) enables Siemens units worldwide and external customers to accelerate their business transformation into a sustainable and digital future. Our portfolio comprises services driven by expertise and the latest technology – with a strong focus on innovation and digitalization in areas like business administration, human resources, supply chain management, sales, marketing, and engineering.

In our GBS Western Europe and Africa Hub we are already more than 1400 connected people, from over 57 different nationalities spread across 14 countries.

GBS Digital Solutions offer innovative technology solutions and customer-oriented digitalization services and co-develop digital solutions to solve our customers business challenges, leveraging our modern technology layer and partner ecosystem. We consult them with our holistic, 360° digital advisory service, encompassing the data-driven discovery of digitalization potential along their business processes.

Want to know more about GBS? Check out here (https://new.siemens.com/global/en/products/services/gbs.html) !

Are you a forward-thinking, high-energy, dynamic driver who wants to get directly involved in the daily business with our international teams and work on your own abilities and manage responsibility.

Your new role – challenging and future-oriented

• Understand customer challenges and suggest them actionable insights with clear business benefit of the proposed solution.

• Work with large, complex data sets and applying advanced analytical methods as needed.

• Develop deployable machine learning solutions that address the real root cause.

• Interact with multiple stakeholders (from different levels) and effectively present findings by exploiting visual displays of complex quantity information in a simplified way.

• Be the partner of choice regarding technology advisory for advanced analytics.

• Actively and proactively perform market/trend scouting to stay up to date on the state-of-the-art technologies.

Your qualifications – solid and appropriate

• Bachelor’s degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or related field.

• Knowledge in advanced data analytics/data science.

• Have five years of relevant experience with data science/optimization/statistical models.

• Understand the mathematics/optimization behind machine learning algorithms.

• Skilled in applying algorithmic models and are well acquainted with the properties and limits of a diverse set of established as well as state-of-the-art models, as well as validating the model results against the stated business objectives.

• architecture requirements and conceptual approaches for deploying algorithmic solutions in Big Data productive environments.

• Comfortable working in programming languages like SQL, Python and R, as well as with frameworks like Tensorflow and Keras; experience developing solutions in distributed teams using Version Control tools like GIT.

• Experience with cloud technologies: AWS Sagemaker, Lambda etc.

• Stay abreast of new technologies in artificial intelligence and digitalization and seek creative ways of applying emerging and state-of-the-art algorithmic approaches in real world business applications.

• Outstanding analytical and conceptual skills and an entrepreneurial mindset.

• Experience on collecting business requirements and traduce it into solution designs.

• Fluency in English mandatory; additional knowledge of German and/or Portuguese is preferred.

What makes us proud as an employer:

• Top Companies to work in Portugal (Awarded by LinkedIn)

• Healthy Workplaces Award - 3rd large corporations (Awarded by Portuguese Psychologists’ Association)

• TOP 20 Most Admired Shared Services Organizations in the World

• The Biggest of Tech Portugal -Technology Production Category (Awarded by Exame Informática and Visão Magazines)

• Most ESG responsible company in Tech/Industrial Sector (Awarded by Merco Corporate Reputation Monitor)

• 2nd Best Engineering Company (Awarded by Teamlyzer, biggest Portuguese tech community platform)

We are thrilled to have:

• A hybrid working model with a flexible working hours policy to promote work life balance. A budget for setting up a home office, health insurance and a financial support program for your studies.

• You also have a medical center on the premises, sports groups, 2 days volunteering, access to e-learning platforms (Learnlight, LinkedIn Learning and more) and discounts with partners.

• To all these benefits we add the possibility to work in a fresh, relaxed, and always motivated environment.

#Siemens #PeopleAtSiemens

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!