Data Scientist & Data Analyst

Siemens Energy
Berlin, Germany
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Berlin, Germany

Tech stack

Big Data
Python
Machine Learning
Power BI
Information Technology

Job description

Join our dynamic Service Demand Planning organization as Data Scientist & Data Analyst (f/m/d), where your expertise will drive business continuity and innovation! Imagine leading the charge in expanding advanced predictive modeling techniques while championing digitalization efforts that enhance efficiency, accuracy, and speed. You will develop and deploy cutting-edge predictive models, conduct comprehensive data analysis, and manage impactful data science projects. Your role will not only focus on innovating forecasting methods but also on embedding them into practical business workflows, ensuring that your contributions make a real difference in our operations.

How You'll Make an Impact

  • Design, develop, and validate advanced statistical and machine learning models to enhance service demand forecast accuracy
  • Research and implement new modeling techniques to tackle complex business challenges within the supply chain and planning domain
  • Deploy and maintain predictive models in a production environment, ensuring their reliability and performance
  • Perform in-depth analysis of large datasets to uncover key trends and actionable insights for demand planning
  • Manage the lifecycle of data science projects, providing guidance and mentorship to junior team members

Requirements

  • Master's degree or PhD in a quantitative field such as Data Science, Statistics, Computer Science, or Mathematics
  • Significant professional experience in a data science or data analyst role, with a proven track record in developing and deploying predictive models
  • Experience in supply chain, logistics, or demand planning environments is highly advantageous
  • Proficiency in programming languages such as Python and R, along with strong skills in SQL and data visualization tools like Power BI
  • Demonstrated ability to manage complex projects and mentor junior professionals effectively

About the company

At Siemens Energy, we are more than just an energy technology company. With ~100.000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo Our Commitment to Diversity Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character - no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences. Rewards/Benefits * In addition to an attractive remuneration package in line with the market, you can expect an attractive employer-financed company pension scheme * We also offer the opportunity to become a Siemens Energy shareholder * We offer our employees the opportunity to work flexibly and remotely, and our inspiring offices provide space for collaboration and creativity * The professional and personal development of our employees is very important to us. We provide them with the opportunities to learn and develop in a self-determined way, various attractive programmes and learning materials are available for this purpose * In relation to the "compatibility of family and work", we have a wide range of offers, e.g. flexible working time models, childcare places at many locations, the possibility of trial part-time work or even a sabbatical

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