Working Student Data Science

Working Student Data Science

Job Description:

We are seeking a motivated Working Student to join our Data Science team, where you will have the opportunity to play a pivotal role in various data-driven projects. In this position, you will assist with essential tasks such as data collection, cleaning, and preprocessing, ensuring that our datasets are accurate and ready for analysis. Your analytical skills will come into play as you support statistical analysis and hypothesis testing, contributing to our understanding of complex data sets. You will collaborate with experienced team members on the development and evaluation of machine learning models, gaining hands-on experience in applying advanced techniques to real-world problems. Furthermore, you will help create insightful data visualizations using tools like Power BI, transforming raw data into actionable insights. Documentation will also be a key part of your role, as you contribute to the thorough documentation of our data science projects. Staying current with the latest advancements in data science and contributing to our research efforts will be essential for your personal and professional development. Additionally, you will provide general support to the Data Science team, which includes tasks such as organizing files and scheduling meetings.

IT Languages:

• Python
• SQL

As a Working Student in Data Science, you will engage in various tasks that support the team's objectives and enhance your learning experience.:

Assist with data collection, cleaning, and preprocessing activities;; Support statistical analysis and hypothesis testing efforts;; Collaborate on the development and evaluation of machine learning models;; Create informative data visualizations using Power BI;; Contribute to the documentation of ongoing data science projects;; Stay updated with advancements in the field of data science;; Provide general support to the data science team, including organizing files and scheduling meetings

Spoken Languages:

• English;; German

Skillset:

• Python
• SQL
• pandas
• NumPy
• scikit-learn
• TensorFlow
• Pytorch
• Microsoft Azure
• Power BI
• matplotlib
• XGBoost
• LightGBM
• PySpark

Soft Skills:

• Teamwork
• Adaptability
• Effective Communication
• Time Management

Qualifications:

• Currently enrolled in a relevant degree program such as Computer Science, Statistics, or Data Science from an accredited university
• Strong analytical and problem-solving capabilities with a keen interest in data-driven insights
• Proficiency in Python and SQL for effective data manipulation and analysis
• Familiarity with data science libraries and frameworks including pandas, NumPy, scikit-learn, TensorFlow, and Pytorch
• Experience with Microsoft Azure for cloud computing and data storage
• Understanding of distributed computing frameworks like PySpark is a plus
• Knowledge of data visualization tools such as Power BI and matplotlib is beneficial
• Solid grasp of statistical analysis and machine learning algorithms like XGBoost and LightGBM
• Excellent organizational and time management skills to balance academic and work commitments
• Strong written and verbal communication skills with the ability to collaborate effectively within a team environment

Years of Experience:

0

Location:

Hamburg, Hamburg, Germany, EU

Job Benefits:

• Competitive hourly wage of 17 EUR
• Proportionate vacation entitlement
• Diverse and engaging tasks in an international work environment
• Excellent mentoring structure with regular feedback
• Option for up to 60% remote work

Working Conditions:

Part Time

Employment Type:

Internship

Company Culture:

• Our company fosters a collaborative and innovative environment where employees are encouraged to share ideas and contribute to impactful projects. We believe in the continuous development of our team members through mentorship and constructive feedback, creating a supportive atmosphere for learning and growth.

Opportunities For Advancement:

• Potential for future internships or job offers upon graduation, Networking opportunities within the industry, Access to training and development programs

Visa Sponsorship:

Not Available