Cinemo

Senior Data Scientist – f/m/d

Cinemo

full-time

Posted on:

Location Type: Hybrid

Location: Karlsruhe • Germany

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Job Level

Senior

Tech Stack

ApacheAWSAzureCloudETLGoogle Cloud PlatformPythonPyTorchSparkSQLTensorflow

About the role

  • 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

Requirements

  • 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
Benefits
  • Health insurance
  • Work-life balance initiatives
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
ETL pipelinesdata scienceBayesian modelingprobabilistic programminguncertainty quantificationneural network analysisdeep learning frameworksPythonRSQL
Soft Skills
technical leadershipmentorshipguidanceinnovationexcellencecollaborationcommunicationdata-driven decision making
Certifications
PhDMS