Data Scientist

About us

Siemens
We are a technology company focused on industry, infrastructure, transport, and healthcare. By combining the real and the digital worlds, we empower our customers to transform their industries and markets, helping them to transform the everyday for billions of people.

Job description, responsibilities and duties

Our Digital Buildings Data Analytics team is looking for an enthusiastic and innovative Data Scientist who is eager to play with buildings data from all over the world and to be part of the implementation of functionalities that provide actionable insights to our customers. Your playground will consist of large data sets, latest software technologies and impactful global software offerings, and you will work with a passionate team of data scientists, engineers, architects and product managers to build tomorrow’s data-driven products. The position is located in Bratislava, Slovakia, where an engaged and multinational community will happily introduce you to our dynamic, global environment. Join us in creating environments that care.

Evaluate and implement advanced data analytics techniques in joint collaboration with the global Data Analytics team, Software Architects/Engineers and Product Managers

·       Collaborate with Software Engineers to ensure the smooth integration of data science products into global offerings

·       Develop, validate and maintain advanced data analytics products

·       Analyze large volumes of data covering a wide range of information from building operational data to equipment and user behavior data   in order to identify new patterns through data mining and AI

·       Investigate the most appropriate techniques to solve complex problems by assessing diverse mathematical, statistical and AI models

·       Contribute to managing the data analytics infrastructure and processes

·       Communicate complex concepts and the results in a clear and effective manner

Your skills and experience

·       Degree in computer science/engineering/applied mathematics or related fields

·       Minimum two years of work experience in a professional context, preferably in a global setup with distributed virtual teams and environments

·       At least two years of work experience in the analytics field (including data science, business intelligence, etc.)

·       Strong data fundamentals and demonstrated ability to organize, clean, schematize and process data, as well as good understanding of how to use data science methodologies to solve complex problems

·       Seasoned machine learning and data mining enthusiast, proficient in algorithms development and able to work with complex infrastructures

·       Knowledge of and practical application of advanced statistical analyses and modelling (e.g., predictive or neural network modelling, classification, etc.)

·       Excellent Python skills. Optional: Scala skills

·       Understanding of agile software development methodologies

Required education, skills and personality requirements

Required education
Follow-up/Higher Professional Education

Educational Specialization
computer science/engineering/applied mathematics or related fields

Language skills

Number of years of experience
2

We offer

We offer:

• Successful, stable, but innovative company, which makes real impact
• Newest technologies, all projects runs in agile methodology (we use SAFe)
• Great team (hard to explain in words, let`s meet us and see )
• We support trainings, cerfications and development internally and externally with individual approach based on your needs and requests. We attend also international conferences (e.g. AWS)
• Flexible working hours
• 2 days of home office per week
• 3 Sick days per year
• Bridge days (additional paid leave to our legal vacation allowance) from 4 to 9 days per year
• Sick leave compensation to 100% of salary – 20 days p.a.
• Cafeteria system - Benefit plus
• Work-life balance – stable quartal planning cyclus
• Childbirth bonus, maternity leave bonus, work anniversary present
• Additional pension savings (3. pilier)
• Team building program - offsite meeting, Christmas party, extra budget for team building events
• Siemens Share Matching Program
• Employee`s loans
• Referral program
• Company free parking
• Discount of monthly fee from our telecom provider for employees and their family member