Stellenbeschreibung:

Overview

You will turn large, complex data into actionable insights to help clients solve real-world problems in private and public sectors. Collaborating with multidisciplinary teams, you’ll design and deploy data-driven solutions that support decision-making and impact. You’ll build and operationalize analytics and ML capabilities, including handling structured and unstructured data and integrating advanced AI components. This role offers the chance to work on meaningful challenges at scale, contributing to data science for good.

Leistungen / Benefits
  • health
  • life
  • disability
  • financial** benefits
  • retirement benefits
  • paid leave and professional development
Verantwortungsbereiche
  • Develop algorithms and systems to convert disparate data into objective insights for clients
  • Collaborate with clients and cross-functional teams to define questions and determine analytical approaches
  • Design, build, and deploy end-to-end DS/ML solutions and data pipelines in production
  • Process structured, semi-structured, and unstructured data for analytics and feature engineering
  • Integrate large language models into analytic and ML workflows, including prompt design and automation
  • Provide deep data understanding and guidance on how data can inform decisions
Zentrale Anforderungen
  • 3+ years building and maintaining ML/AI-driven or data-centric applications
  • 3+ years designing and operationalizing data and ML pipelines in production
  • 3+ years processing diverse data types to support analytics and model development
  • 3+ years integrating LLMs into ML workflows
  • Experience collaborating in cross-functional teams to deliver DS/ML solutions
  • Secret clearance
  • Bachelor’s degree
  • cross-functional collaboration
  • client-facing communication
  • problem-solving
  • Python
  • SQL
  • TypeScript
NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    14 Sep 2026
  • Standort:

    Stuttgart
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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