Data Scientist

vor 1 Woche

Hamburg, Deutschland Adobe Vollzeit

Our Company
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours
The Opportunity
What You Will Do
Partner with product managers, marketers, and engineers to analyze clickstream and product usage data.
Develop and implement techniques to transform raw data into meaningful insights using programming languages (Python/R) and visualization tools.
Contribute to building predictive models and scalable algorithms on large-scale datasets to solve business problems.
Assist with experimentation and measurement of new product features and user engagement programs (e.g., A/B testing, causal inference).
Collaborate with data engineers to access, prepare, and automate datasets and pipelines for analysis. Share findings through clear visualizations and presentations to both technical and non-technical audiences.
Learn and grow by working alongside senior data scientists on advanced projects in causal inference, personalization, and predictive modeling.
What You Need to Succeed
Master’s degree in a quantitative field (e.g., Statistics, Computer Science, Data Science, Engineering, or related).
2+ years of relevant work experience in data science, analytics, or related fields (internships and research experience count).
Proficiency with Python (pandas, scikit-learn, matplotlib/seaborn) and/or R.
Experience writing SQL to query and analyze data.
Solid foundation in statistics (e.g., hypothesis testing, regression, experimental design).
Ability to translate data analysis into clear insights and communicate them effectively.
Curiosity, problem-solving mindset, and willingness to learn new tools and methods.
Nice to Have
Exposure to natural language processing, unstructured data analytics, or applied econometrics.
Familiarity with causal inference methods and A/B testing design.
Experience with big data tools (e.g., Spark, Databricks).
Familiarity with customer lifecycle analytics, especially in B2B contexts.
Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Looker).
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.

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