Job
- Level
- Experienced
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 3.300 to 3.900€ Gross/Month
- Location
- Vienna
- Working Model
- Onsite
Job Summary
In this role, you analyze data, develop and implement machine learning models, create insightful visualizations, and present findings to support informed business decisions.
Job Technologies
Your role in the 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 and logical stories using data.
- Be a proactive contributor to the collection of best practices in Data Science and Machine Learning (e.g., for model comparison) and the 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.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- 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.
Experience
- 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 communication skills to work effectively with stakeholders at various levels (including management) and with different levels of data literacy.
This text has been machine translated. Show original
Benefits
Health, Fitness & Fun
Work-Life-Integration
Job Locations
Topics that you deal with on the job
This is your employer
Sclable Business Solutions GmbH
Sclable Business Solutions GmbH focuses on digital solutions and AI applications to develop innovative and customer-oriented products. The company relies on a hyper-collaborative working style with a team of over 50 experts.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication