Job
- Level
- Senior
- Job Field
- 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 ML models using Python and PySpark, handle complex data analyses, execute proof-of-concepts, and operationalize solutions to address various business challenges.
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, feature engineering, etc.).
- They conduct proof-of-concepts (PoCs) and evaluate them.
- Upon successful PoC, you will work on operationalizing the solution (Git, CI/CD, Model Registry) to ensure the model is efficiently integrated into daily operations.
- 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 extended complexity.
- You assist in acquiring new projects, lead workshops, and proactively identify optimization and business opportunities during ongoing projects. Additionally, you participate in subsequent sales activities.
- They communicate both at the departmental level of the client side and at the project level.
- You lead sub-projects and keep efforts within a task area in accordance with (project) specifications.
- 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.
- You primarily work on projects with Python (e.g., pandas, numpy) and SQL, Jupyter, PySpark, Databricks,.... Additionally, you deal with Spark, Data Warehousing, Data Engineering, Big Data, and MLOps.
- You work with the most advanced cloud technologies (AWS, Azure, or GCP).
- You represent our company convincingly externally and collaborate with a wide range of industries.
- We work with both structured and unstructured data (online and offline data such as payment transactions, call center calls, etc.) and help our clients to understand their data correctly.
- Project teams typically consist of 2 to 5 members (analysts, engineers, data scientists, project managers) who work on both long-term projects and shorter "pilots."
- The outcome of your work optimizes business-critical functions for our clients and has a direct impact on their economic success.
- For example, we use predictive models to improve the world of online communication, monitor the quality of shelf placement with state-of-the-art computer vision, and work on fraud detection.
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Our expectations of you
Qualifications
- Bachelor's degree or equivalent
- Extensive technology skills (e.g., Python (pandas, numpy, scikit-learn, TensorFlow, Pytorch), PySpark, SQL, Databricks, Apache Spark, Hadoop, etc.)
- Very good knowledge of MS Office products Excel, Word, PowerPoint, etc.
- Excellent communication skills in at least German and English
- Teamwork, entrepreneurial thinking, independence, and motivation complete your profile.
- Enjoyment in working as part of a team and independently developing new topics.
Experience
- Extensive professional experience (at least 5 years in the field)
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What we offer
- Freedom and autonomy - You have the opportunity to contribute to products, projects, and services that change the world.
- Modern, agile working methods alongside our clients accompany you in everyday life.
- Innovation and Growth - You have the opportunity to build and make an impact in an innovative environment, continuously learn, and develop yourself.
- You will be supported by a national and international employee network.
- Trust and Care - We support each individual and every team because together we are smarter, more successful, and enjoy our work more.
- Health and Sustainability - Your well-being is our top priority!
- Enjoy flexible working hours, 30 days of paid annual leave, the opportunity to work remotely, and much more.
- Our inclusion agreement ensures an accessible working environment that supports people with disabilities.
- Sustainability is a central component of our customer solutions and our own actions.
- Compensation and Benefits - We know that our employees are our driving force.
- Therefore, we offer you an attractive salary and additional social benefits that match your needs and lifestyle.
- More benefits await you!
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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
Dev Reviews
by devworkplaces.com
Total
(3 Reviews)4.0
Engineering
3.7Culture
4.5Career Growth
3.8Workingconditions
4.0
Senior Data Scientist
- Location
- Hamburg, Stuttgart, Tübingen, Berlin, Dusseldorf, Munich, Fürth, Essen, Ingolstadt
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
