Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg, Berlin, Nuremberg, Munich, Frankfurt, Bonn
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will manage customer projects throughout the lifecycle, analyze and visualize data, develop machine learning models, and ensure data quality through effective preparation and manipulation.
Job Technologies
Your role in the team
- You support our clients with their data projects - from conception to implementation.
- You analyze, visualize, and interpret complex data to identify relevant insights.
- You are responsible for ensuring data quality through effective data preparation/manipulation (Pandas, NumPy), data visualization (Tableau, Matplotlib, Seaborn), as well as processing various data formats (tables, images, text, graphs).
- You design and implement machine learning models to solve complex problems, selecting and customizing appropriate algorithms.
- You work closely with your team and coach younger team members.
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Our expectations of you
Education
- You have a degree in Economics, Physics, Mathematics, or a comparable field of study.
Qualifications
- Your high level of initiative, teamwork skills, and very good German language skills distinguish you.
Experience
- You have at least 3-5 years of practical experience in the field of Data Science or related areas.
- You are proficient in preparing, analyzing, manipulating, and visualizing data, and you have programming skills (Python) and experience with SQL.
- You possess an excellent understanding of graph and machine learning algorithms (Random Forests, Boosting, Support Vector Machines, Neural Networks, Deep Learning), as well as mathematical modeling (statistics, time series analysis, network analysis, etc.), and have practical experience with relevant libraries (e.g., scikit-learn, TensorFlow/Keras, PyTorch, JAX, XGBoost).
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What we offer
- Work how and where you want. Flexible working hours, home office, sabbatical, and up to 20 days of workation abroad within the EU.
- Home remains home. Start of customer journeys from your home in Germany, Austria, and Switzerland - without relocating to a Senacor site, but with a higher per diem rate and all-inclusive package.
- Compensation that convinces. Attractive salary with benefits such as a company car, JobRad, subsidy for the Deutschlandticket and childcare, as well as occupational pension scheme and 30 days of vacation.
- Career that develops individually. Rapid assumption of responsibility, personalized coaching, further training, and programs such as the Female Talents Program.
- An office to feel good in. Modern offices with weekly breakfast, feel-good moments, free drinks, gaming consoles, literature, and an open door for dogs and children.
- Experience more together. Various events, afterwork offers, initiatives, communities, and networking formats.
- Additional benefits make life more enjoyable. Corporate benefits, courses for your work-life balance with voiio, and state-of-the-art IT equipment - also for private use.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
Senacor Technologies AG
Wien, München, Stuttgart, Nürnberg, Eschborn, Bonn, Berlin, Hamburg
As consultants for business IT transformation, we help leading financial service providers and industrial companies shape their IT departments with over 600 employees. As a reliable partner, we create the foundation for our customers' businesses of tomorrow, such as Deutsche Bank, BMW, Daimler, GLS, and Deutsche Bahn.
Description
- Company Size
- 250+ Employees
- Founding year
- 1999
- Language
- German
- Company Type
- Digital Agency
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Consulting, Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(5 Reviews)3.8
Engineering
3.4Workingconditions
4.3Culture
3.9Career Growth
3.7
Senior Data Scientist
- Location
- Hamburg, Berlin, Nuremberg, Munich, Frankfurt, Bonn
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
