20 beste Stellen als senior data scientist – aktuell auf Personalsuche

Senior Data Scientist (m/f/d)
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- Vollzeit
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- Informatik
- Englisch
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Senior Data Scientist (m/w/d)
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- Vollzeit
- Informatik
- Englisch
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- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Direkt bewerben
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Amazon Web Services Development Center Germany GmbH —Berlin
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Principal Applied Scientist (Economics, Experimentation & Platform Analytics) at Zalando Search & Discovery (All genders)
Zalando —Berlin
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Senior Marketing Scientist (d/f/m)
Taxfix —Berlin
- Vollzeit
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- Master
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- Künstliche Intelligenz
- Flexible Arbeitszeiten
Direkt bewerben
Senior Data Scientist (m/w/d) mit Führungsverantwortung - remote oder Karlsruhe
Knuddels GmbH & Co. KG —Karlsruhe
- 70.000 € – 90.000 € pro Jahr
- Vollzeit
- Homeoffice
- Informatik
- Englisch
- Java
- Weiterbildungsprogramme
Direkt bewerben
Principal Applied Scientist / Lounge by Zalando (all genders)
Zalando —Berlin
- Vollzeit
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(Senior) Data Scientist Analytics (m/w/d)
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Senior Data Scientist (m/w/d)
SSI SCHÄFER GMBH & CO KG —Giebelstadt
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Senior ML Research Scientist – AI & Generative Recommendation (m/f/d)
adjoe —Berlin
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Direkt bewerben

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Senior Data Scientist (m/f/d)

Experian Information Solutions -
Frankfurt am Main

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Details zur Stelle

Festanstellung | Vollzeit
vor 1 Tag

Leistungen

Flexible Arbeitszeiten

Qualifikationen

Informatik
PyTorch
Spark
Datenanalyse
Master
SQL
Bachelor
Machine Learning
Scala
Finanzdienstleistungen
Python
Data Science

Vollständige Stellenbeschreibung

Role Overview

Introduction of role, purpose:

The Data Scientist plays a pivotal role in the development and application of advanced analytics and machine learning models to support the development, monitoring, and maintenance of our data products, including Scores, Attributes, and other Data Services. This role is integral to driving innovation and improving the performance of our products, working closely with our Data Engineering, Product & Tech teams ensuring data-driven decision-making.

The primary purpose of this role is to develop, implement, and maintain machine learning models and analytical solutions that enhance our data products. It also includes the monitoring of our Bureau Data Asset and the continues improvement of our Bureau Data Ingestion Pipeline.

Main focus of this role are product-related tasks with only limited or no involvement in client projects.

Main responsibilities, tasks, duties:

Develop and implement machine learning models and advanced analytics solutions
Monitor the performance and quality of our models and data products
Perform ad hoc analyses to support product development and decision-making
Collaborate closely with Data Engineering, Product & Tech teams to understand functional requirements and to
ensure proper implementation of analytical solutions, new product features and improve processes
Ensure model accuracy and integrity through rigorous testing and validation processes
Document methodologies, processes, and findings to maintain transparency and reproducibility
Extract, manipulate, and analyze data from data lake to support various product development and monitoring activities
Support our Legal and Compliance Teams in cases of consumer complaints, questions regarding our Scores and regulatory or policy changes
Stay up to date on industry trends and new developments in machine learning and data science

Responsibility, e.g. budget, key deliverables:

Ensure timely delivery of high-quality machine learning models and analyses
Maintain and improve the accuracy and performance of our models and data products
Contribute to the development of new product features and enhancements
Support data-driven decision making within Product Management
Provide insights and recommendations based on data analysis to support strategic decision-making

Experience and Skills

Required qualification, expertise, skills:

Bachelor’s or Master’s degree in data science, Statistics, Computer Science, or a related field
Strong analytical and problem-solving skills with keen attention to detail
Deep knowledge of statistical methods and machine learning algorithms, especially logistic regression and
boosted trees and its application
Proficiency in programming languages such as Python or Scala
Experience with machine learning frameworks such as XGBoost, PyTorch, or scikit-learn
Experience with data manipulation and extraction from data lakes or large data storages using SQL and Spark
Proven ability to analyze complex business and risk processes, translating them into actionable data models

Preferred further skills (not mandatory):

We are not looking for a pure theorist: You should have the ability to interpret and apply analytical models within a business context. Ideally, you have demonstrated how to analyze business processes and translate them into data models to enable data-driven decision-making.
Experience in the credit bureau or financial services environment is a plus, but not mandatory
Strong ability to communicate complex analytical results clearly and provide actionable insights for non-technical stakeholders
Excellent communication and collaboration skills

Ability to work independently and manage multiple tasks simultaneously

About Experian

Experian is a global data and technology company that empowers people and businesses around the world. With our unique combination of data, analytics and software, we have established ourselves as one of the leading service providers for risk, fraud and identity management in the DACH region.

Experian gives individuals better access to financial services such as loans, insurance, mobile phone contracts and online shopping. We help companies of all sizes and industries make smarter decisions, lend more responsibly and protect themselves and their customers from identity fraud and crime.

We invest in our talented people and new, advanced technologies to harness the power of data and drive innovation. We employ 25,100 people in 32 countries and are a FTSE 100 company listed on the London Stock Exchange (EXPN). Our headquarters are in Dublin, Ireland.

Benefits/Perks:

A high degree of autonomy in a dynamic, internationally oriented organization
A motivated team that values innovation and collaboration
Great compensation package and attractive employee benefits
Flexible working hours and remote work options

Experian is proud to be an equal opportunity and affirmative action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

#LI-Hybrid

Experian Careers - Creating a better tomorrow together

Jetzt bewerben

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