(Junior) Data Scientist (m/w/d)
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| Company Name | Reply |
| Company Type | Private |
| Job Type | Full-Time |
| Salary Range | Market Competitive |
| Location | Greater Munich Metropolitan Area |
| Qualifications | Bachelor’s Degree |
| Experience | No Experience / Fresh |
Job Overview
Reply is seeking a (Junior) Data Scientist to join their team in the Greater Munich Metropolitan Area. This entry-level role is ideal for individuals eager to contribute to solutions based on AI, big data, cloud computing, and digital media, supporting various industries.
Company Overview
Reply specialises in the design and implementation of solutions based on new communication channels and digital media. As a network of highly specialised companies, Reply defines and develops business models enabled by the new models of AI, big data, cloud computing, digital media and the internet of things. Reply delivers consulting, system integration and digital services to organisations across the telecom and media; industry and services; banking and insurance; and public sectors.
Quick Details
- Salary Range: Market Competitive
- Job Type: Full-time
- Qualifications: Bachelor’s Degree
- Experience: No Experience / Fresh
Key Responsibilities
- Assist in collecting, cleaning, and preprocessing large and complex datasets.
- Support senior data scientists in developing and implementing machine learning models and algorithms.
- Analyze data to identify trends, patterns, and actionable insights for business solutions.
- Help visualize data findings and present them clearly to internal teams and stakeholders.
- Collaborate on the design and implementation of AI and big data solutions across various sectors.
- Continuously learn and apply new data science techniques, tools, and best practices.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
- Strong analytical and problem-solving skills with attention to detail.
- Familiarity with programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, scikit-learn).
- Basic understanding of machine learning algorithms, statistical modeling, and data manipulation.
- Eagerness to learn and develop expertise in AI, big data, cloud computing, and digital media technologies.
- Excellent communication and teamwork skills, with proficiency in English and German.
Benefits
- Opportunities for professional growth and development within cutting-edge technologies like AI and big data.
- Work within a dynamic and innovative network of highly specialized companies.
- Exposure to diverse industries including telecom, media, banking, insurance, and public sectors.
- Collaborative and supportive work environment with experienced professionals.
- Access to ongoing training, mentorship, and career advancement programs.
- Competitive salary and a comprehensive benefits package.
