Senior Data Scientist

Ipsos North America

Data Scientist at Ipsos developing innovative analytics solutions for businesses using advanced data techniques. Working on Data Warehouse and analytics platform development in a hybrid setting.

Posted 5/27/2026full-timeHamburg • 🇩🇪 GermanySeniorWebsite

Tech Stack

Tools & technologies

CloudDockerETLGoogle Cloud PlatformNumpyPandasPythonSQLTableau

About the role

Key responsibilities & impact

As a Data Scientist with us, you will play a central role in developing our data warehouse and analytics platform.
You design and implement innovative data science and analytics solutions that drive company growth, generate new insights for our clients across diverse industries, and foster innovation.
You play a key role in operating and advancing our data warehouse and analytics platform using Python and a modern, data-driven Google Cloud architecture.
You implement and optimize existing data processing pipelines for large, multinational client projects, focusing on standardization and automation.
You design and implement software solutions to analyze structured and unstructured data from surveys, customer databases, and other sources.
Together with your team, you advise internal and external stakeholders on efficient data and decision-making processes and translate available data into decision-relevant insights using analytical methods and visualization techniques.
You work with a modern data engineering and analytics stack — e.g., Python, Docker, Google Cloud, Tableau — and collaborate with the team to develop pragmatic automation solutions for complex analysis workflows.

Requirements

What you’ll need

You have 3+ years of experience in data engineering and data science, as well as multivariate data analysis and visualization, and are eager to learn new technologies.
You have solid Python skills and hands-on experience with relevant libraries (pandas, numpy, pytest, etc.) and are familiar with ETL/ELT processes, common data exchange protocols, interfaces, and data formats. Experience with database systems/SQL, GCP or similar platforms, and working in agile teams is a plus.
Excellent quantitative degree (M.Sc.), e.g., in STEM, quantitative social sciences, business informatics, or related fields.
You enjoy working in a team, have a solution-oriented in-house consulting mindset, and prefer to drive initiatives proactively rather than wait for instructions.
You work in a structured and meticulous way — accuracy is important to you.
You are fluent in English (written and spoken) — German is a plus!

Benefits

Comp & perks

Hybrid work
Flexible working hours
Workation in Europe
Ipsos corporate benefits
Subsidy for the Deutschlandticket (Germany-wide public transport pass)
Job rotation
Professional development & learning culture
International collaboration
Events & local site community
Diversity & inclusion
Corporate social responsibility
Modern workplace

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata sciencemultivariate data analysisdata visualizationPythonETLELTSQLdata processing pipelinesanalytical methods

Soft Skills

teamworksolution-oriented mindsetproactive initiativestructured workmeticulousness

Certifications

M.Sc.