Level: Senior

Job Feld: Data

Anstellung: Vollzeit

Vertragsart: Unbefristetes Dienstverhältnis

Ort: Wien

Arbeitsmodell: Onsite

Job Zusammenfassung

In dieser Position entwickelst du maßgeschneiderte Machine-Learning-Modelle, analysierst Daten, präsentierst Ergebnisse und integrierst diese Lösungen in die Geschäftsprozesse unserer Kunden aus verschiedenen Branchen.

Job Technologien

Deine Rolle im Team

We are a young consulting company with a team of talented data engineers, architects and data scientists specializing in building cloud-based data platforms and AI/ML solutions for our customers.
Our customers, with which we have strong relationships and multi-year contracts, include well-known companies in the areas of energy providers & utilities, retail, financial services, and mobile apps.
Our projects always involve applying cutting-edge cloud technologies to exciting real-world data.
Your tasks in a project could be interacting with the customer and understanding his business needs and processes.
Use case reflection together with the customer to find the best use case to apply Data Science / Machine Learning.
Analyzing and understanding the provided data and connecting it to the business processes.
Implementing a machine learning model (whichever model fits best; e.g. in python) which improves the business processes.
Presentation of results and discussion of machine learning model internally and with the customer.
Deployment of the found model in customer's business processes (on-Prem or in cloud).

Unsere Erwartungen an dich

Qualifikationen

Good analytical and problem-solving skills, critical thinking, and an ability to explore and understand customers’ technical ecosystems and data, as well as an ability to communicate complex technical problems and their solutions clearly.
Interest in working with visualization tools (PowerBI, etc.).
Interest in modern cloud-based data architecture and cloud services.
Interest in working with Spark and the Hadoop stack.
Readiness to travel.
German and English fluently spoken and written.
Deep understanding of the overall Data Science workflow including the most common algorithms.
Ability to handle the full data science lifecycle from conception to deployment.