Data Scientist (m/f/d)

sclable; Wien; Vor Ort; EUR 80 000 - 100 000; Vollzeit

Zusammenfassung

A leading company in the eHealth and digital product sector seeks a Data Scientist to drive AI-based business models. The role involves data analysis, machine learning implementation, and collaborative projects with experts across fields. Join an agile team committed to innovating data-driven products while enjoying opportunities for personal growth in a flat hierarchy environment.

Leistungen

Agile team environment

Open communication and flat hierarchy

Rapid personal development opportunity

Qualifikationen

• At least 3 years of applied Data Science experience.
• Proficiency in Python and familiarity with R.
• Strong ability to create data visualizations and communicate insights.

Aufgaben

• Use data to improve business decisions and enhance customer satisfaction.
• Deploy machine learning models and create visualizations for stakeholders.
• Collaborate with engineers and designers to optimize service delivery.

Kenntnisse

Data Analysis

Data Visualization

Machine Learning

Statistical Knowledge

Communication

Collaboration

Ausbildung

Data Science

Mathematics

Statistics

Computer Science

Tools

Python

R

Power BI

TensorFlow

Spark

Azure

Jobbeschreibung

Director of People & Operations @ Sclable | Member of the Management Team | Organizational Development | Agile Practices | eHealth & Digital Products

We are looking for a Data Scientist (m/f/d) with an analytical mind, visionary power, and implementation strength to help AI-based business models succeed.

Data is the foundation of AI-based business models, products, and services. The key to success is to analyze data efficiently, collect it wisely, sketch possible solutions, provide proof of feasibility, and implement ideas with determination. If you are eager to shape the future of AI-based products and services as a team player with data, AI, and domain experts from various fields, then you have come to the right place.

What you will be doing

1. Use data to improve business decisions, enhance customer satisfaction, and increase business impact.
2. Perform data preprocessing, determine appropriate analytical approaches and modeling techniques, and deploy supervised and unsupervised machine learning models (e.g., deep learning, NLP, clustering), recommendation systems, or similar.
3. Create insightful visualizations and deliver presentations to stakeholders, telling convincing and logical stories using data.
4. Contribute proactively to the collection of best practices in Data Science and Machine Learning and develop Sclable’s Data Science roadmap.
5. Stay up-to-date on data science and machine learning developments and trends.
6. Collaborate with data engineers, machine learning engineers, UI/UX designers, and other stakeholders to optimize service delivery.

What you should have

1. At least 3 years of applied Data Science experience analyzing data, building production-grade AI/ML models, and storytelling with data to create positive business impacts.
2. Advanced data analytics skills and experience creating beautiful data visualizations (e.g., Power BI, Shiny).
3. Profound statistical and mathematical understanding from academic studies (e.g., Data Science, Mathematics, Statistics, Computer Science).
4. Proficiency in programming in an object-oriented language (preferably Python), with R as a plus.
5. Excellent knowledge of Data Science and Machine Learning packages and tools (familiarity with TensorFlow, Keras, PyTorch is a plus).
6. Hands-on experience with Big Data environments and tools (e.g., Spark, Databricks) in cloud settings (Azure, AWS, GCP) for developing, training, testing, and deploying models.
7. Strong communication skills to work effectively with stakeholders at different levels and data literacy levels.
8. Team player with a hands-on mentality focused on customer satisfaction.
9. A valid work permit for Austria.
10. As a plus: Experience in data collection, processing, cleansing, and storage as a Data Engineer.

What we offer

1. A new way of thinking and working that rapidly brings success to innovative ideas.
2. Work in an agile team of experts who enjoy sharing ideas and expertise.
3. Open communication, flat hierarchy, and plenty of individual responsibility.
4. The opportunity to evolve rapidly by pushing transformative Data Science and Machine Learning products into industries.
5. The gross monthly salary starts at €3,175 (according to the collective agreement for data processing and information technology), typically around €4,000 depending on qualifications and experience. We are open to negotiations for candidates with special qualifications.

6. Karrierestufe

   Management

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