You will lead technical projects and develop machine learning solutions while collaborating with clients and interdisciplinary teams to ensure successful implementation and project acquisition.
Anforderungen
- •At least four years of experience
- •Strong knowledge in machine learning
- •Solid experience in generative AI
- •Excellent Python skills
- •Experience in software development
- •Knowledge of database systems
- •Knowledge of cloud technologies
- •Solid knowledge of MLOps
- •Confident communication with clients
- •Strong self-motivation
- •Passion for data science
- •University degree in computer science
- •PhD in machine learning is a plus
- •Excellent German skills
- •Excellent English skills
Deine Aufgaben
- •Lead technical aspects of client projects.
- •Define methodological approaches and develop use cases.
- •Advise clients on technical matters and present results.
- •Develop machine learning pipelines independently or lead development.
- •Prepare data, model selection, and validation.
- •Assess feasibility of machine learning solutions.
- •Collaborate with data platform architects on prototypes.
- •Support acquisition of new client projects.
Deine Vorteile
Safe and healthy workplace
Flexible working hours
Work from home option
Profit share scheme
Global and diverse community
Positive and inclusive culture
Commitment to development
Investment in personal growth
Original Beschreibung
# Senior Data Scientist
**Eschborn** | **Full time**
**The role**
As a Senior Data Scientist at Zühlke, you turn ideas into real-world impact—uncovering the true value of data and leading the journey from concept to practical application through advanced AI and machine learning solutions.
**How you'll make an impact**
* You will take on the technical leadership of client projects (defining the methodological approach, developing use cases with clients, advising clients on technical matters, and presenting and explaining results).
* You will lead the development of machine learning pipelines or develop them independently: data preparation, modeling, method selection, and validation.
* You will assess the technical and economic feasibility of machine learning solutions and help operationalize successful prototype concepts in collaboration with data platform architects.
* As an expert, you will also support the acquisition of new client projects and be part of an interdisciplinary bid team.
**What's important to us**
* You have at least four years of professional or research experience in the field of machine learning after completing your studies. Experience with implementing projects in industry or services is a plus.
* You bring strong and versatile knowledge in machine learning and statistics. Solid experience in the area of generative AI is essential for this position.
* You have excellent Python skills, experience in software development, database systems, and cloud technologies, as well as solid knowledge of MLOps.
* Thanks to your confident communication with clients, strong self-motivation, and passion for data science topics, you take ownership of projects and help advance our ML/DS capabilities.
* You have a university degree in computer science, mathematics, or a comparable field. A PhD in a machine-learning-related field is a plus, but not mandatory.
* Excellent German and English skills are required.
**What we offer**
Work life blend: we offer a safe & healthy workplace, with flexible working hours and the possibility to work from home.
Profit share scheme: In addition to your annual salary, you may receive a profit share defined by the company’s success in the previous year.
Global and Diverse Zühlke community: witness how colleagues from all our 16 offices across the globe come together to create a unique, positive and inclusive work culture, learning from one another at annual team camps, and celebrating year-end parties and other local festivities.
Committed to development: we are committed to the growth of our people and are investing in your development. We’re empowering you to build the skills you need to make a positive impact, both personally and for our clients, today and in the future.
We welcome people from all backgrounds, regardless of their gender, personality, national origin, race, religion, colour, sexual orientation, gender identity, age, marital status, disability or veteran status.