Data Scientist & Data Analyst (f/m/d)

Siemens Energy Global GmbH & Co. KG; Berlin; Vor Ort; EUR 60.000 - 85.000; Vollzeit

Benefits dieser Stelle

Attractive remuneration package

Employer‑financed company pension scheme

Flexible and remote work options

Professional development opportunities

Childcare and flexible working time models

Zusammenfassung

IT-Systemhaus der Bundesagentur für Arbeit is seeking a skilled Data Scientist & Data Analyst (f/m/d) in Berlin to lead the enhancement of service demand forecasting through predictive modeling and data analysis. The ideal candidate will hold a Master’s or PhD in a quantitative field and possess significant experience in data science roles, particularly within supply chain environments. Key responsibilities include developing advanced statistical models, managing data science projects, and mentoring junior team members. The role offers attractive benefits including a company pension scheme and flexible working options.

Qualifikationen

• Proven track record in developing and deploying predictive models.
• Experience in supply chain, logistics, or demand planning environments.
• Ability to manage complex projects and mentor junior professionals.

Aufgaben

• Design, develop, and validate advanced statistical and machine learning models.
• Research and implement new modeling techniques.
• Deploy and maintain predictive models in a production environment.
• Perform in-depth analysis of large datasets.
• Manage the lifecycle of data science projects.

Kenntnisse

Statistical and machine learning models

Data analysis

Python

R

SQL

Data visualization tools

Project management

Ausbildung

Master’s degree or PhD in a quantitative field

Tools

Power BI

Jobbeschreibung

Data Scientist & Data Analyst (f/m/d)

Arbeitsort

Berlin

A Snapshot of Your Day

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

What You Bring

• Master’s degree or PhD in a quantitative field such as Data Science, Statistics, Computer Science, or Mathematics
• Significant professional experiencein 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

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

We value equal opportunities and welcome applications from people with disabilities.