Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Reutlingen
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you develop machine learning models to predict business metrics, analyze large data sets, and identify new business opportunities for process optimization.
Job Technologies
Your role in the team
- As a (Senior) Data Scientist, you develop machine learning models to predict business metrics, identify business opportunities through data analysis, work on projects for process optimization and automation, and make data-driven decisions in collaboration with various departments.
- Development and implementation of data-driven models for predicting and optimizing business processes.
- Analysis of large datasets and derivation of actionable insights for management.
- Close collaboration with various departments and provision of data-driven solutions to support business decisions.
- Identification of new data sources and assessment of their relevance for the company.
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Our expectations of you
Education
- Completed degree in Mathematics, Statistics, Computer Science, or a related field.
Qualifications
- Good knowledge of common programming languages such as Python, R, or Java.
- Teamwork, initiative, and analytical thinking skills.
- Fluent in German and English.
Experience
- Several years of experience in the development and implementation of data-driven models and machine learning methods.
- Experience in handling large datasets and databases.
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Topics that you deal with on the job
Job Locations
This is your employer
KOLIBRAIN GmbH
KOLIBRAIN GmbH, based in Reutlingen, provides an AI platform that assists companies in automating, preparing data, and optimizing processes. The company particularly focuses on AI-as-a-Service and targets medium-sized enterprises.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Senior Data Scientist
- Location
- Reutlingen
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
