Data Scientist - m/f/d (R-17625)

Dun & Bradstreet; Frankfurt; Vor Ort; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

Ein innovatives Unternehmen sucht einen erfahrenen Data Scientist, der in einem dynamischen Umfeld arbeitet. Diese Rolle umfasst die Entwicklung und Validierung statistischer Modelle zur Lösung komplexer Geschäftsprobleme und die Zusammenarbeit mit funktionsübergreifenden Teams. Sie werden die Möglichkeit haben, Ihre Fähigkeiten in einem unterstützenden und fortschrittlichen Büro in Frankfurt einzusetzen. Wenn Sie leidenschaftlich an Datenanalysen interessiert sind und einen echten Einfluss auf Geschäftsentscheidungen haben möchten, ist dies die perfekte Gelegenheit für Sie.

Leistungen

30 Tage Urlaub

Flexible Arbeitszeiten

Professionelle Entwicklungsmöglichkeiten

Interne Beförderungsmöglichkeiten

Innovativer Arbeitsplatz

Unterstützung bei der Altersvorsorge

Wellhub Mitgliedschaft

Subventioniertes Jobticket

Zuschüsse für Arbeitsplatzbrillen

Mitarbeiterhilfeprogramm

Qualifikationen

• 6+ Jahre Erfahrung in Data Science, insbesondere in der Zusammenarbeit über Unternehmen hinweg.
• Erfahrung mit modernen Machine Learning Techniken und Programmierung in Python, R und SQL.

Aufgaben

• Teilnahme an allen Aspekten eines Modellierungsprojekts, einschließlich Design und Implementierung.
• Entwicklung globaler analytischer Lösungen basierend auf bewährten Methoden.

Kenntnisse

Machine Learning Techniken

Statistische Analyse

Programmierung in Python

Programmierung in R

SQL Kenntnisse

Feature Engineering

Netzwerkanalyse

Natural Language Processing

Kommunikationsfähigkeiten

Präsentationsfähigkeiten

Ausbildung

Master oder Ph.D. in einem quantitativen Bereich

Tools

Statistische Modelle

Jobbeschreibung

Why We Work at Dun & Bradstreet

Dun & Bradstreet combines global data and local expertise to help clients make smarter decisions. With 6,000+ people in 31 countries, we are a team of diverse thinkers and problem solvers who all share a common curiosity: to find new ways to turn data into value. If you share this curiosity and want to be part of a future-ready company, come join us! Learn more at dnb.com/careers.

Data Science sits at the core of what we do at Dun & Bradstreet. We use modeling, statistics, analytics and visualization techniques to develop new analytics solutions and solve customer problems.

Our focus is strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge. Good Data Scientists will not just address business problems, they will pick the right problems that have the most value to the organization.

As part of Dun & Bradstreet's Data & Analytics team, you will participate in all aspects of modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting. You will research complex business issues and recommend solutions, including model features, end products, and any data required to support growing Dun & Bradstreet initiatives.

Key Responsibilities

• Participate in all aspects of a modeling engagement, including design, data requirements, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting.
• Develop Global Analytic Solutions inclusive but not limited to statistical models based on D&B’s established best practices, methodologies, and tools.
• Research complex business issues and recommend solutions, including model inputs and end products, focusing on addressing specific customer needs and use cases.
• Serve as a Subject Matter Expert on predictive models within the Finance & Risk Solutions Europe Analytics team and with business users; consult with the business, as appropriate, on predictive modeling solutions.
• Identify business relevance of new methods and work with cross-functional teams to create prototypes, assist in creating business cases and go-to-market strategies.
• Validate the performance of existing quantitative risk models and recommend changes when necessary.
• Drive timely retrieval of risk analytics data from existing systems to create algorithms that meet business needs.

To Succeed in This Role, We Believe You Have

• Ideally a Masters or Ph.D. degree in a quantitative/applied field (Statistics, Econometrics, Computer Science, Operations Research, Mathematics, Engineering).
• 6+ years of data science roles, especially roles requiring cross-company collaboration.
• Hands-on experience applying modern machine learning techniques.
• Ability to program in statistical analysis languages, proficiency in programming languages (Python, R, SQL).
• Experience in feature engineering, automation, network analysis, or Natural Language Processing.
• Excellent communication and presentation skills.
• Fluency in written and spoken English and German is required for this role.

What We Offer

• Professional and interdisciplinary development opportunities: Access to (international) training and further education programs.
• Internal promotion opportunities and the chance to move to other areas of the company and learn new skills.
• A structured, practiced and appreciative feedback culture.
• Flexible working hours.
• An innovative office space in the Tower One in Frankfurt for progressive collaboration (www.one-frankfurt.de).
• 30 days' vacation plus various special leave options and anniversary bonuses.
• "Do Good" donation program to make donations to specific institutions with the support of D&B.
• Refer a friend program!
• Company pension scheme with our partner "Gothaer".
• Wellhub membership for a flexible & discounted selection of gyms.
• Subsidized job ticket.
• Subsidized workplace glasses if required.
• Access to free services providing support and counselling via an Employee Assistance Program.