Senior Data Scientist (f/m/d)

Cinemo; Karlsruhe; Vor Ort; EUR 65.000 - 90.000; Vollzeit

Zusammenfassung

A global provider of innovative infotainment solutions is seeking a Senior Data Scientist in Karlsruhe, Germany. The ideal candidate will drive data-driven decision-making, develop scalable data pipelines, and optimize product features. Requires a PhD/MS in a quantitative field and expertise in Bayesian modeling, deep learning, and data engineering tools. Join a diverse team to enhance organizational data capabilities and improve AI models.

Qualifikationen

• PhD or MS in a relevant quantitative field with 5+ years of experience.
• Strong expertise in data science and Bayesian modeling.
• Hands-on experience with deep learning frameworks.

Aufgaben

• Develop and optimize ETL pipelines for high-quality data.
• Conduct statistical studies and data analyses for AI tools.
• Maintain datasets to support AI model development.

Kenntnisse

Data Science expertise

Bayesian modeling

Probabilistic programming

Neural networks

Deep learning frameworks (TensorFlow, PyTorch)

Python

R

SQL

Data engineering tools (Spark, Apache Beam)

Cloud computing platforms (AWS, GCP, Azure)

Ausbildung

PhD or MS in Computer Science, Data Science, or related field

Tools

TensorFlow

PyTorch

Spark

Apache Beam

Jobbeschreibung

Overview

Senior Data Scientist (f/m/d) role at Cinemo. Cinemo is a global provider of innovative infotainment products that enable high-quality digital media experiences across embedded systems, mobile apps, and cloud-based solutions.

Founded in 2008, Cinemo partners with more than 40 OEMs and over 20 tier-1 companies, delivering scalable, high-performance media solutions. The company is diverse with a global team of 300+ employees from 40 nationalities.

Job 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 analyze complex datasets, develop scalable data pipelines, and apply Bayesian approaches to extract actionable insights. You 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, we’d 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 analyses to evaluate the impact of AI tools, research, and engineering results, and to generate interpretable insights for data-driven decisions
• Curate and maintain datasets to support development, evaluation, and deployment of AI models
• Provide technical leadership, mentorship, and guidance to the AI team and internal research projects
• 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

What you will need to succeed:

• PhD or MS in Computer Science, Data Science, Statistics or a related quantitative field with 5+ years of relevant experience
• Strong expertise in data science, Bayesian modeling, probabilistic programming, and uncertainty quantification
• Hands-on experience with neural networks and deep learning frameworks (e.g., TensorFlow, PyTorch)
• Proficiency in Python, R, SQL, and data engineering tools such as Spark or Apache Beam; 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 NLP, reinforcement learning, and graph analytics is preferable

The successful candidate will be based in Karlsruhe, Germany.

Details

• Seniority level: Associate
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: IT Services and IT Consulting

We look forward to your application!

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