Job
- Level
- Senior
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg, Stuttgart, Tübingen, Berlin, Dusseldorf, Munich, Fürth, Essen, Ingolstadt
- Working Model
- Hybrid, Onsite
Job Summary
In this role you develop predictive models in Python and PySpark, run PoCs, perform feature engineering, version models with Git, CI/CD and Model Registry, and operationalize solutions on AWS, Azure or GCP.
Job Technologies
Your role in the team
- Your task is to solve business problems using Big Data, develop effective solutions, and deploy ML models into production.
- Together with the team, you analyze customer requirements and develop suitable solutions.
- They develop models, predictions, and algorithms using Python and PySpark, including data preparation and feature engineering.
- They conduct proof-of-concepts (PoCs) and evaluate them.
- Upon successful PoC, you will work on operationalizing the solution with Git, CI/CD, and Model Registry to ensure the model is efficiently integrated into daily workflows.
- As part of pre-sales activities, you qualify tenders from a technical perspective, analyze customer requirements, assess feasibility, and assist in the preparation of proposals related to standard elements with increased complexity.
- You assist in acquiring new projects, lead workshops, and proactively identify optimization and business opportunities during ongoing projects.
- You assist with subsequent sales activities.
- They communicate both at the departmental level of the client side and at the project level.
- You lead subprojects and ensure efforts are in line with project specifications within a designated task area.
- In the project, you will work on the implementation of solution components or functional modules of data analytics architectures.
- You participate in the conception, design, implementation, testing, and consulting, and support the implementation of solution components or functional modules.
- They primarily work on projects using Python, for example with pandas and numpy, as well as with SQL, Jupyter, PySpark, and Databricks.
- They also work with Spark, Data Warehousing, Data Engineering, Big Data, and MLOps.
- You work with modern cloud technologies such as AWS, Azure, or GCP.
- You represent the company convincingly to the outside and work with a variety of industries.
- They work with both structured and unstructured data, such as payment transactions and call center calls, and help clients understand their data correctly.
- Project teams typically consist of two to five members from the roles of Analysts, Engineers, Data Scientists, and Project Managers, working on both long-term projects and shorter pilots.
- The outcome of your work optimizes business-critical functions for clients and has a direct impact on their economic success.
- They, for example, use predictive models to improve the world of online communication, monitor the quality of shelf placement with modern computer vision, and work on fraud detection.
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Our expectations of you
Education
- You have a Bachelor's degree or an equivalent qualification.
Qualifications
- You possess extensive technical knowledge, for example in Python with pandas, numpy, and scikit-learn, as well as in TensorFlow, PyTorch, PySpark, SQL, Databricks, Apache Spark, and Hadoop.
- You have very good knowledge of MS Office products Excel, Word, and PowerPoint.
- You possess excellent communication skills in German and English.
- You bring teamwork, entrepreneurial thinking, independence, and motivation.
- You enjoy working in a team and independently developing new topics.
Experience
- You have extensive professional experience with at least five years in the field.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
AtosIEviden
Wien, Klagenfurt, Graz, Innsbruck, Neutal, Ternitz, Salzburg, München, Wien, Wien, Leonding, Leonding, Linz, Linz, Tübingen, Ingolstadt, Stuttgart, Pforzheim, Karlsruhe, Saarbrücken, Mannheim, Fürth, Frankfurt Am Main, Wiesbaden, Köln, Düsseldorf, Kassel, Leipzig, Essen, Paderborn, Holzminden, Hannover – Laatzen, Berlin, Berlin, Meppen, Bremen, Hamburg
Atos is a leader in Infrastructure & Data Management, Business & Platform Solutions, Big Data & Security, Unified Communication & Collaboration Transactional & Payment Services and Cloud Computing.
Description
- Company Size
- 250+ Employees
- Founding year
- 2011
- Language
- German, English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Public Service, Unions, Industry, Production, Internet, IT, Telecommunication
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(3 Reviews)Engineering
3.7Culture
4.5Career Growth
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4.0
