About

Become the Sherlock Holmes of the web and help our clients to detect the fraudsters among their customers. In this never ending race, we are beating the bad guys with technology and data analytics!

As a (Senior) Data Scientist (d/f/m), you are a member of the Analytics team, joining forces with other scientists and engineers. Our team provides a cloud solution that centralizes all our customers’ data for ad-hoc data investigation and for serving analytical product features. We are looking for someone passionate about diving deep into different data projects to generate insights into fraudulent patterns. Your findings will directly impact fraud prevention: you will improve our ML pipeline, innovate our products FRIDA and DEVICE IDENT, and help our customers fight fraud in their specific domain. This requires regularly presenting your results to diverse audiences, especially in German. If you think the team will benefit from your creativity and motivation, take the next step in your career and join us! We have a wonderful office in Hamburg, but we embrace a hybrid working culture and are open to a remote setup with occasional visits to the office.

Tasks

Dive into real fraud discovery data projects, enhance our Machine Learning risk models, and take care of sensitive enterprise customer projects.
Discuss your findings with our customers, developers, and management alike, in English and German.
Contribute re-usable functionality to our Python/PySpark toolkit on Databricks, in collaboration with data engineers.
Improve our risk scoring pipeline (e.g. feature engineering, sampling strategies, model types, evaluation metrics, explainability, anomaly detection), also bringing in your own ideas.
Support our product development of FRIDA and DEVICE IDENT by data analysis.
Think out of the box during our regular innovation days, and leverage the latest Data Science trends, e.g. from relevant conferences, for fraud prevention.

Requirements

Fundamentals

University degree or comparable qualification in Computer Science, Mathematics, Statistics, or similar.
Solid understanding of ML concepts, processes and algorithms.
3+ years of professional experience working in data-driven teams in industry or research.
Good programming skills, ideally in Python/PySpark, to efficiently and reliably work with large data sets, and to contribute to shared codebases.
Structured and thorough methodology, and high self-organization.
Clear and effective communication, written and verbal.
Strong presentation skills in front of diverse audiences.
Very good English skills for our international team.
Near-native German skills required for customer interaction.
Based in Hamburg, or willing to travel to the office occasionally in a remote setup.
Some sense of humor and an open mindset :)

Bonus

Proven routine in analytical projects with regular customer contacts.
Working experience in software development with agile methodologies.
Deep knowledge in Machine Learning (e.g. xgboost, logistic regression) as well as in applying generative AI (e.g. LLM, RAG).
PhD in a quantitative discipline.
Deep knowledge in some of the following technologies: Databricks, Python, (Py)Spark, Scala, H2O, scikit-learn, Bash, git, SQL, HTML/JS
Advanced data visualization skills (e.g. Plotly, Dash, D3, ggplot)
Joy in data story telling, also on stage at public events.
Proven experience in working with sensitive and confidential data.

Even if your profile doesn't match 100%, feel free to apply!

We offer the following benefits

The possibility to take responsibility and realize your own ideas - from day one.
Collaborative environment in which everyone works on eye-level.
A team of experts and helpful buddies that allows you to learn something new every day.
Very friendly, open and supportive working environment.
Generous remote work guideline with emphasis on team alignment.
Innovation days to pursue your personal/professional growth.
Internal coaching and training sessions (our internal coaches may even help with non-work related topics).
Budget for conferences, external training, etc.
Access to two online learning platforms (Udemy und Masterplan).
Social Days, i.e. paid time off for volunteer work on a project close to your heart.
Possibility to take a sabbatical after 3 years of employment.
Free choice between Linux or MacOS on powerful mobile hardware, and everything else you might need to be able to work efficiently.
Lunch allowance up to 30,-€ per month.
Public transport allowance up to 22,-€ per month.
Bike leasing via JobRad with insurance allowance.
Mental Health Initiatives.
Reimbursement of travel expenses for company events 4x per year for Riskies living outside of Hamburg.
Attractive discounts at various partner shops and gyms, e.g. 15% discount at www.otto.de or 10% discount at Fitness First gyms.
Access to Otto Group's “Corporate Benefits” platform, which grants discounts with various partners (decoration, travel agencies, car rental, etc.).
In the office in Hamburg: various free drinks and organic fruit delivered twice a week.
Shower in the office enabling you to easily integrate active lunch breaks or a bike ride to work into your working day.
Relocation support: constant contact person, issuing documents, help with public offices, translation support, etc.
… and many more!

If you would like to apply, please use the application button. Your application should include:

Your CV (PDF format).
Motivational letter (PDF format) that describes why you want to work at RISK IDENT. Please make explicit what interests you in this position and our company.
Your desired salary (EUR gross per year).

Your contact person is Tatiana Miranda (HR Manager). We are looking forward to your application!

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About us

RISK IDENT is a dynamic software development company based in Hamburg, Germany. Founded in 2012, our team became one of the market leaders within fraud prevention in the German speaking market in a very short period of time. Today, as an independent company within the OTTO Group RISK IDENT has a strong customer base, the majority of our customers coming from e-commerce, telecommunications, mobility and financial services. We secure more than 80 billion euros of annual turnover against fraud for our customers. We have an innovative SaaS business model with an excellent market position. Our team consists of around 77 people from all over the world with every single one of them loving what they do. We are always on the lookout for new challenges and for smart people to accompany us along the way!