Senior Data Scientist (m/w/d)

ORDIX AG; Nordrhein-Westfalen; Hybrid; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

An established industry player is seeking a Senior Data Scientist to drive innovative projects in analytics and machine learning. This role involves developing and validating machine learning models, collaborating with clients, and guiding AI applications from development to deployment. You will work with cutting-edge technologies and have the opportunity to share your knowledge through seminars and conferences. The company offers a dynamic environment with flexible work arrangements, extensive training opportunities, and a focus on continuous learning. Join a team that values creativity and innovation while making a significant impact in the data science field.

Leistungen

Flexible work arrangements

30 days of vacation

Company car for private use

10 training days annually

Secure permanent employment

Creative freedom to innovate

Modern workstations

Overtime compensation

Work and travel time recognized as working hours

Qualifikationen

• 5+ years of relevant professional experience in data science and ML.
• Experience with large language models and generative AI.

Aufgaben

• Develop and support projects in analytics, ML, and AI.
• Guide AI applications from development to deployment.

Kenntnisse

Python

SQL

Machine Learning

Data Science

Deep Learning

Analytical Skills

Communication Skills

Customer Orientation

Ausbildung

Technical university degree in computer science

Tools

TensorFlow

PyTorch

Keras

AWS

Azure

Google Cloud

Docker

Kubernetes

Git

GitLab

Jobbeschreibung

Senior Data Scientist (m/w/d)

Senior Data Scientist (m/f/d)

ORDIX AG

Take the next step in your career with ORDIX!

About Us
For 30 years, we have been a reliable partner to renowned clients from the financial and banking sector, industry and commerce, as well as the public sector. Our success is driven by more than 180 consultants, developers, and project managers who design and develop customized IT solutions to help our customers succeed. We foster the internal exchange of opinions and knowledge among our employees, passing on our expertise through project work, services, and seminars.

Your Tasks

1. Develop and support projects in analytics, machine learning (ML), and artificial intelligence (AI).
2. Create and validate machine learning models in collaboration with our clients.
3. Guide AI applications from development to deployment at our customers' sites.
4. Plan and execute challenging projects and proof-of-concepts across Germany.
5. Evaluate new tools and frameworks for operational use with our clients.
6. Share your knowledge with colleagues, students, and clients through seminars, blogs, or conferences, aligning with our principle "Knowledge is multiplied by sharing it".

Your Profile

1. Technical university degree in computer science or a related field, with at least five years of relevant professional experience.
2. Experience analyzing complex data structures and applying data science and ML methods.
3. Proficiency in Python and SQL.
4. Experience with large language models and generative AI.
5. Familiarity with deep learning frameworks like PyTorch, Keras, TensorFlow.
6. Strong analytical, conceptual, communication skills, and high customer orientation.
7. Fluent in German (at least B2, preferably C1) and proficient in English.

Additional Advantages

1. Experience with Hadoop and its ecosystem.
2. Knowledge of cloud providers like AWS, Azure, or Google Cloud.
3. Experience in time series analysis or predictive maintenance.

Your Perspectives

1. Opportunities for management roles.
2. Development as an expert in new and existing technologies.

Technological Environment, Methods, Tools, and Processes

• Python (including packages like TensorFlow, PyTorch)
• Cloud platforms (AWS, Azure, GCP)
• Cloudera Data Platform (including Cloudera Machine Learning)
• APIs from GenAI providers (e.g., OpenAI)
• Containerization (Kubernetes, Docker)
• SQL, Git, GitLab, CI/CD

Your Advantages

• Extensive knowledge network for continuous learning.
• Creative freedom to innovate.
• Modern workstations at office and home.
• Flexible work arrangements and remote work options.
• Secure, permanent employment contract.
• 10 training days annually for skill enhancement.
• Work and travel time are recognized as working hours.
• 30 days of vacation, flexitime, and overtime compensation.
• Company car, preferably electric, for private use with comprehensive package.