Urgent! (Senior) Data Scientist (f/m/d) Job Opening In Munich – Now Hiring Ipsos
Ipsos
We are one of the world's leading market and opinion research providers, empowering businesses and public organisations with actionable insights to make informed decisions.
We are committed to pushing the boundaries of data science and analytics to deliver exceptional value to our clients.
The Data Science team is working on the digital transformation of processes, data products and on customer-specific solutions in the areas of Data Analytics, Artificial Intelligence and Reporting/Visualisation, and on building a Data Lake and Analytics Platform.
We are looking for a (Senior) Data Scientist (f/m/d) to join our Data Science department at one of our locations in Munich or Hamburg as soon as possible.
Your role and tasks
As a (Senior) Data Scientist with us, you will play a pivotal role in shaping the future of our data warehouse and analytics platform.
You will be responsible for applying, developing and implementing cutting-edge data science and analytics solutions that drive business growth and innovation to generate new insights for clients in all industries.
As a (Senior) Data Scientist with us, you will have the opportunity to explore exciting and diverse data, work with cutting-edge algorithms and technologies and participate in the development of solutions that generate new insights for clients in all industries.
You play an important role in the development and maintenance of our data warehouse and analytics platform using Python and state of the art Google Cloud based data engineering architecture.
You implement and optimize existing data processing pipelines for large multi-country client projects, focusing on standardization and automation.
You design and implement software solutions for analyzing structured and unstructured data from surveys, customer data warehouses (first party data), and other sources.
Together with your team, you will advise internal and external stakeholders on efficient data process and decision-making processes and translate available data into decision-relevant insights using analytical methods such as regression, cluster and factor analysis, conjoint/choice modelling, random forest, neural networks or Bayesian modelling, and others.
You work with a modern stack of data engineering and analytics tools – .
Python, Docker, Google Cloud, Tableau, Sawtooth – and collaborate with the team to develop pragmatic automation solutions for complex analytics processes.
Your profile
You have 3+ years of experience in Data Engineering, Data Science and/or Data Analytics, as well as in multivariate data analysis and visualisation, and are curious about learning new technologies.
You have strong knowledge of Python and practical experience with relevant libraries (like pandas, numpy, sklearn etc,) and are familiar with ETL / ELT processes, common data exchange protocols, interfaces, and data formats.
If you are experienced in database systems / SQL and GCP (or similar) and have worked in agile teams – even better!
Very good quantitative degree (, .
in STEM, Social Science, Quantitative Marketing, Statistics, Mathematics, Computer Science or related fields.
You are a team player, have the mindset of an inhouse consultant and love to drive topics that you own instead of being told what exactly to do.
You are structured in your work style and you would consider yourself to be meticulous.
You are fluent in English (spoken and written) - German is a plus!
Shape your futue with us!
We offer comprehensive training and the opportunity to work independently in an advisory and executive capacity in the international environment of an attractive growth market
You can expect a highly motivated, ambitious and dynamic team, international challenges and extraordinarily exciting projects in a global environment
You will be supported by the entire team in your activities
We live a professional feedback culture with regular objective performance reviews and room to grow
We equip you with state-of-the-art technology and offer you a workplace where you feel comfortable – in our office locations in Hamburg or Munich
An attractive remuneration is complemented by social benefits such as company pension schemes
Contact us!
Please send us your complete application documents, including your availability and your salary expectations.
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Unlock Your Senior Data Potential: Insight & Career Growth Guide
Real-time Senior Data Jobs Trends in Munich, Germany (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Data in Munich, Germany using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 37566 jobs in Germany and 2635 jobs in Munich. This comprehensive analysis highlights market share and opportunities for professionals in Senior Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Ipsos is currently hiring and seeking a (Senior) Data Scientist (f/m/d) to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: (Senior) Data Scientist (f/m/d) Jobs Munich.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Ipsos adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a (Senior) Data Scientist (f/m/d) Jobs Germany varies, but the pay scale is rated "Standard" in Munich. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
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Before the Interview:To prepare for your (Senior) Data Scientist (f/m/d) interview at Ipsos, research the company, understand the job requirements, and practice common interview questions.
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