Senior Data Scientist (f/m/d)

Cinemo; Karlsruhe; Vor Ort; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

An established industry player is seeking a Senior Data Scientist to drive data-driven decision-making through collaboration across teams. This role involves analyzing complex datasets, developing scalable data pipelines, and applying advanced statistical methods to derive actionable insights. You will work closely with engineers and product managers to enhance AI models and optimize features. If you are passionate about tackling challenging problems at the intersection of data science and customer engagement, this opportunity offers a dynamic environment where your contributions will significantly impact business outcomes.

Qualifikationen

• 5+ years of relevant experience in data science and machine learning.
• Strong expertise in Bayesian modeling and statistical analysis.
• Hands-on experience with neural networks and deep learning frameworks.

Aufgaben

• Develop and optimize ETL pipelines for reliable data processing.
• Conduct statistical studies to evaluate AI tools and create insights.
• Provide mentorship and technical leadership to the AI team.

Kenntnisse

Data Science

Bayesian Modeling

Probabilistic Programming

Python

R

SQL

ETL Pipelines

Statistical Modeling

Deep Learning

Cloud Computing

Ausbildung

PhD in Computer Science

MS in Data Science

MS in Statistics

Tools

TensorFlow

PyTorch

Spark

Apache Beam

Jobbeschreibung

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, 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 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

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