Cinemo GmbH

Senior Data Scientist (f / m / d)

Cinemo GmbH Schwetzingen

Stellenbeschreibung:

Salary

80.000 - 110.000 per year

Requirements

  • What you will need to succeed :
  • PhD or MS in Computer Science, Data Science, Statistics or a related quantitative field with scientific background and with 5+ years of relevant experience
  • Strong expertise in data science, Bayesian modeling, probabilistic programming, and uncertainty quantification
  • Hands-on experience with neural network analysis, deep learning frameworks (e.g., TensorFlow, PyTorch), and model evaluation
  • Proficiency in Python, R, SQL, and data engineering tools such as Spark or Apache Beam and experience in designing, executing, and analyzing A / B tests
  • Ability to develop and optimize ETL pipelines for large-scale data processing
  • Solid understanding of causal inference, time series forecasting, and statistical modeling
  • Hands-on experience with cloud computing platforms (e.g., AWS, GCP, Azure) and big data tools
  • Knowledge in natural language processing (NLP), reinforcement learning, and graph analytics is preferable

Responsibilities

  • Position Description
  • As a Senior Data Scientist at Cinemo, you will drive data-driven decision-making through cross-functional collaboration on several topics. This role requires a deep understanding of statistics, machine learning, and the ability to communicate results and insights to a range of audiences. You will play a critical role in analyzing complex datasets, developing scalable data pipelines, and applying Bayesian approaches to extract actionable insights.
  • This role will work closely with engineers, product managers, and business leaders to improve AI models, optimize product features, and enhance organizational data capabilities. If you have a passion for solving challenging problems at the intersection of data science, AI, and customer engagement, wed love to hear from you!
  • In this role, you will :
  • Develop and optimize ETL pipelines, ensuring high-quality, reliable data
  • Design and conduct statistical studies and data analysis to evaluate the impact of internally adopted AI tools, research, and engineering results and to create interpretable insights and make data-driven decisions
  • Curate and maintain datasets to support the development, evaluation, and deployment of AI models
  • Provide technical leadership, mentorship, and guidance to the AI team and internal research projects, fostering a culture of innovation and excellence
  • Partner with machine learning engineers, product managers, and executives to translate data insights into tangible business and product improvements
  • Develop scalable algorithms and automated data processing frameworks to optimize analytics workflows

Technologies

  • AI
  • AWS
  • Azure
  • Big Data
  • Cloud
  • ETL
  • GCP
  • Support
  • Machine Learning
  • Network
  • PyTorch
  • Python
  • SQL
  • Spark
  • TensorFlow

More

International crossfunctional teams working on cutting edge multimedia solutions.

last updated 39 week of 2025

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Stelleninformationen

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    04 Nov 2025
  • Standort:

    Schwetzingen

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