Aktuelle Jobs im Zusammenhang mit Senior Data Scientist - Berlin, Berlin - Babbel

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    {"h1": "Senior Data Scientist", "h2": "Join our team at Tech Punk GmbH", "p": "Wir suchen einen erfahrenen Data Scientist, der sich auf die Bewertung von Risiken und die Entwicklung von Data-Analytics-Lösungen spezialisiert hat. Als Senior Data Scientist bei Tech Punk GmbH werden Sie Teil eines engagierten Teams, das sich auf die Risikosteuerung und...

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    vor 4 Wochen

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    vor 3 Wochen

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    vor 3 Wochen

    Berlin, Berlin, Deutschland Delivery Hero Vollzeit

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  • Senior Data Scientist

    vor 4 Wochen

    Berlin, Berlin, Deutschland Delivery Hero Vollzeit

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  • Senior Data Scientist

    vor 4 Wochen

    Berlin, Berlin, Deutschland Delivery Hero Vollzeit

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  • Senior Data Scientist

    vor 4 Wochen

    Berlin, Berlin, Deutschland Delivery Hero Vollzeit

    Job Title: Senior Data ScientistWe are seeking a highly skilled Senior Data Scientist to join our Customer Insights squad, part of the Customer Data Platform domain. As a key member of our team, you will play a crucial role in transforming consumer data into actionable insights and data-driven targeting.The ideal candidate will have a strong background in...

Senior Data Scientist

vor 2 Monaten

Berlin, Berlin, Deutschland Babbel Vollzeit
Unlock the Power of AI/ML at Babbel

We're seeking a highly skilled Senior Machine Learning Engineer to join our team and help us revolutionize language learning.

Key Responsibilities:
  • Collaborate with data scientists and engineers to design, build, and deploy AI/ML models and pipelines that drive our personalization solutions.
  • Ensure the reliability and scalability of our AI/ML solutions by creating monitoring and observability tools.
  • Develop and establish end-to-end MLOps technologies and standards in a cloud-based environment to reduce time-to-market for experimenting with AI/ML-powered features.
  • Innovate and bring your ideas to life to help millions of language learners achieve their goals.
Requirements:
  • Computer science or related engineering degree and 4 years of professional experience designing, building, and operating data-intensive ML systems.
  • Proficiency in modern Python, Python data stack, and ML frameworks such as SciKit Learn and PyTorch.
  • Substantial experience designing and building end-to-end MLOps solutions on the cloud, from data gathering and feature management to model training, validation, deployment, and monitoring.
  • Industry experience in architecting and building data applications in AWS Cloud, especially using serverless, data, and ML capabilities.
  • Infrastructure management experience using Terraform.
  • Expertise in querying, modeling, and optimizing data in large-scale SQL and NoSQL databases and Big Data technologies.
  • Experience transforming data science prototypes into production-ready solutions with a commitment to Software Engineering best practices.
  • Proven performance in cross-functional software development teams.
Nice to Have:
  • Experience building near-real-time and real-time data pipelines.
  • Data engineering experience with Apache Spark and Databricks.
  • Experience with orchestration tools such as Apache Airflow.
  • Experience in Natural Language Processing.
  • Experience building and fine-tuning Deep Learning models.
  • Experience optimizing Deep Learning models for deployment and inference.