(Senior) Data Scientist (f/m/d)

Location: Deutschland

*** Mention DataYoshi when applying ***

(Senior) Data Scientist (f/m/d)

in Risk.Ident GmbH

Alle Mitarbeiterinnen und Mitarbeiter in jeder der 123 Einzelgesellschaften der Otto Group tragen täglich mit innovativen Ideen dazu bei, uns unserem gemeinsamen Ziel näher zu bringen: in allen Bereichen Best in Class zu werden.

Online fraud is organised crime and on the rise. Our vision is to create a world where online fraud no longer exists. This is why we develop fraud prevention products. Become the Sherlock Holmes of the web and help us build software that solves real fraud cases! In this never-ending race, we are fighting the bad guys with state-of-the-art technology and with powerful data analytics.

We are looking for a passionate (Senior) Data Scientist (f/m/d) to join our Analytics team. The Analytics team consists of data scientists as well as data engineers in order to bridge seamlessly between advanced analytics and Scrum-based product development.

Was Dich erwartet:

As a (Senior) Data Scientist (f/m/d) at RISK IDENT, you will take responsibility to develop new analytical product features and data services, jump into real fraud discovery data projects, enhance our statistical modeling, and take care of sensitive customer projects, occasionally taking place on-site. At our office in Hamburg, you will closely collaborate across teams with software developers, product experts, product owners, marketing, and sales.

At RISK IDENT, we fight fraudsters by analysing data collections viewed as time-evolving networks that connect devices, transactions, and people. We expect you to support our standard daily operations, but also to productionise state-of-the-art techniques and algorithms from areas such as machine learning, anomaly detection, network theory, time-series analysis, model interpretability, user behavior analytics, or others, in order to maximize their value for the fraud prevention domain. This particularly means to work with data that is highly imbalanced and with labels that come from heterogeneous sources.

Was Du mitbringen solltest:

You competently manage and analyse medium-big data sets with adequate rigor. You are result-focused, pragmatic and a clear and effective communicator. You are able to discuss your approaches and findings with customers, developers, stakeholders and management alike, and you enjoy sharing your knowledge with your colleagues. You particularly feel confident to jump into customer contacts on interesting projects, presenting results from standard and greenfield data analyses, leading customer trainings, and supporting sales activities. This requires the willingness to travel (at most) a few days per month - after COVID-19, of course. This further requires that you speak the German language at a near-native level.

Your colleagues will have a preference for Scala, R and Python. Previous professional experience in any of those languages is definitely a plus. Ideally, you will possess a broad range of software-technical skills and are highly proficient in turning data discoveries into profitable products and measurable improvements for our customers, following standard process models for data mining.

Basic Qualifications:

  • Master’s degree, PhD or comparable qualification in Computer Science, Mathematics, Statistics
  • Excellent presentation skills in front of diverse audiences
  • Good programming skills (in Scala, R, or Python) to efficiently and reliably extract, transform, and clean large data sets, and to contribute to shared codebases
  • Professional experience in predictive and statistical modeling, data analytics, or design of experiments
  • Very good English skills for our international team, and near-native German skills, mandatory for communication to customers

Preferred Qualifications:

  • Proficiency in at least one of the following languages: Scala, R, Python
  • Working experience in software development with agile methodologies (Scrum, Kanban, ...)
  • Proven routine in analytical projects with regular customer contacts
  • Joy in Data Story Telling (of true findings)
  • Deep Knowledge in some of the following technologies: Spark, H2O, Pandas, scikit-learn, RStudio, Jupyter, git, Jenkins, Tableau, Dataiku, Docker, Kubernetes, SQL, MongoDB, Elasticsearch, ...
  • Advanced Data Visualization Skills (e.g. Plotly, D3, JavaScript, ...)
  • Business-oriented mindset
  • Proven experience in working with sensitive and confidential data

Was wir dir bieten:

  • The possibility to take over responsibility and to realise your own ideas - from day one
  • Collaborative environment in which everyone works on eye-level
  • A team of professionals that allows you to learn something new every day
  • Very friendly and open environment
  • Flexible remote work guideline with emphasis on team alignment
  • Access to an online learning platform
  • Free choice between Linux or MacOS on powerful mobile hardware, and everything else you might need to be able to work efficiently
  • Public transport & lunch allowance
  • Regular workout sessions at no charge (shower in the office)
  • Attractive discounts at various partner shops and gyms
  • 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 Tram Reichart (Senior HR Manager). We are looking forward to your application!

Bitte bewerbe dich schriftlich bzw. per E-Mail auf diese Ausschreibung.

Deine aussagekräftige Bewerbung mit Bezug auf die Nummer
03032016 richte bitte an:

Risk.Ident GmbH
Tram Reichart
Am Sandtorkai 50
20457 Hamburg
Tel.: 040 22868 1057
E-mail: recruitment@riskident.com

*** Mention DataYoshi when applying ***

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