Job
- Level
- Senior
- Job Feld
- BI, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Karlsruhe, V. Bezirk
- Arbeitsmodell
- Hybrid, Onsite
Job Technologien
Deine Rolle im Team
- 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.
- 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.
Unsere Erwartungen an dich
Qualifikationen
- Strong expertise in data science, Bayesian modeling, probabilistic programming, and uncertainty quantification.
- Ability to develop and optimize ETL pipelines for large-scale data processing.
- Solid understanding of causal inference, time series forecasting, and statistical modeling.
- Knowledge in natural language processing (NLP), reinforcement learning, and graph analytics is preferable.
Erfahrung
- PhD or MS in Computer Science, Data Science, Statistics or a related quantitative field with scientific background and with 5+ years of relevant experience.
- 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.
- Hands-on experience with cloud computing platforms (e.g., AWS, GCP, Azure) and big data tools.
Benefits
Essen & Trinken
Gesundheit, Fitness & Fun
Mehr Netto
Work-Life-Integration
Job Standorte
Standort Karlsruhe
Kaiserstraße 72
76131 Karlsruhe
Deutschland
Standort V. Bezirk
Váci utca 81
1056 Budapest
Ungarn
Themen mit denen du dich im Job beschäftigst
Das ist dein Arbeitgeber
Cinemo Gmbh
Karlsruhe, Tokio, Seoul, Budapest
Cinemo is a global provider of highly innovative infotainment products that make every screen an opportunity. Its range of award-winning, fully integrated, low-footprint digital media offerings combine high performance with high quality and are truly system agnostic. Whether embedded, as mobile apps or through the cloud, Cinemo supports all digital media scenarios for any industry and any device. Its product portfolio is designed and built to deliver excellence, accelerate time to market, and lower TCO for its clients while creating digital media experiences that matter. Founded in 2008, and with a strong history of industry firsts, Cinemo is the partner of choice for more than 40 market-leading OEMs and over 20 tier-1s. The company works with the top high-tech and consumer electronic companies as well as global music and video content providers. Cinemo’s global team of 300+ innovative thinkers from 40 nationalities continuously delivers groundbreaking innovation.
Description
- Unternehmensgröße
- 250+ Employees
- Gründungsjahr
- 2008
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Senior Data Scientist
- Ort
- Karlsruhe, V. Bezirk
- Arbeitsmodell
- Hybrid, Onsite
- Easy Apply
- Easy Apply