Job
- Level
- Erfahren
- Job Feld
- BI, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- 3.300 bis 3.900€ Brutto/Monat
- Ort
- Wien
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Rolle analysierst du Daten, entwickelst und implementierst Machine Learning Modelle, erstellst aussagekräftige Visualisierungen und präsentierst deine Ergebnisse, um fundierte Geschäftsentscheidungen zu unterstützen.
Job Technologien
Deine Rolle im Team
- Use data to improve business decisions, enhance customer satisfaction and/or increase business impact.
- Perform data preprocessing, determine appropriate analytical approaches and modeling techniques and deploy a variety of supervised and unsupervised machine learning models (e.g. deep learning, NLP, clustering), recommendation systems or similar.
- Create insightful visualizations and deliver presentations e.g. to business stakeholders telling convincing & logical stories using data.
- Be a proactive contributor to collection of best practices in Data Science and Machine Learning (e.g. for model comparison) and development of Sclable's Data Science roadmap.
- Stay up-to-date on data science and machine learning developments & trends.
- Collaborate with data engineers, machine learning engineers, UI/UX designers and other stakeholders in continuously optimizing the service delivery method.
Unsere Erwartungen an dich
Qualifikationen
- Profound statistical and mathematical understanding acquired through academic studies (e.g., Data Science, Mathematics, Statistics, Computer Science).
- Proficiency in programming in an OOP (preferably Python) required, additionally in R is a plus.
- Excellent know-how of Data Science and Machine Learning packages and tools (familiarity with TensorFlow, Keras, PyTorch is a plus).
- Team player with hands-on mentality focusing on customer satisfaction.
- As a plus: Track record in data collection, processing, cleansing and storage as a Data Engineer.
Erfahrung
- At least 3 years of applied Data Science experience analyzing data, building production-grade AI/ML models and telling stories with data with positive business impact.
- Advanced data analytics skills and experience building beautiful data visualizations (e.g., Power BI, Shiny).
- Hands-on experience with Big Data environments and tools (e.g., Spark, Databricks) in a Cloud setting (e.g., Azure, AWS, GCP) with ability to use them for developing, training, testing and deploying ML models.
- Strong communicational skills to work effectively with stakeholders on different levels (incl. management) and with different experience in terms of data literacy.
Benefits
Gesundheit, Fitness & Fun
Work-Life-Integration
Job Standorte
Themen mit denen du dich im Job beschäftigst
Das ist dein Arbeitgeber
Sclable Business Solutions GmbH
Sclable Business Solutions GmbH fokussiert sich auf digitale Lösungen und AI-Anwendungen, um innovative und kundenorientierte Produkte zu entwickeln. Das Unternehmen setzt auf eine hyper-kollaborative Arbeitsweise mit einem Team von über 50 Experten.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom