Master Thesis Data Analytics and Engineering starting October 2024

Master Thesis Data Analytics and Engineering starting October 2024

Job Description:

Embark on a journey of growth and discovery with us, where your potential can be fully realized. We aim to create the most desirable cars in the world, and we invite you to join our dynamic global team. Together, we will tackle challenges, innovate, and excel in our field.

IT Languages:

• Python
• SQL
• R

As part of a data-driven organization, you will collaborate with a diverse team of Data Engineers, Scientists, and Product Owners to transform data into actionable insights that inform strategic business decisions.:

Work with the Data Analytics team to create and implement innovative data solutions, Utilize machine learning techniques to analyze complex datasets and derive meaningful insights, Contribute to the development of AI models aimed at enhancing predictive analytics and other data-centric initiatives, Engage with cross-functional teams to identify their data analytics requirements and provide effective support

Spoken Languages:

• English, German, French

Skillset:

• Data analysis
• Machine learning
• Data engineering
• Collaboration
• Analytical thinking

Qualifications:

• Currently enrolled in a Master's program focused on Computer Science
• Data Science
• or a related field
• Proficient in Python for data analysis and machine learning applications
• Knowledge of data engineering concepts and relevant tools
• Strong analytical capabilities to gather
• organize
• and evaluate data from various sources
• Self-motivated with the ability to work both independently and collaboratively

Years of Experience:

0

Location:

Stuttgart, EU

Job Benefits:

• Company pension
• Flexible working hours
• Incentives and events
• Parking space
• Employee discount
• Cafeteria
• Meal coupons
• Company mobile phone
• Childcare
• Company medical officer
• Coaching
• Home office options
• Company car
• Barrier-free access

Working Conditions:

Full Time, Hybrid

Employment Type:

Master thesis

Company Culture:

• Innovative and collaborative
• fostering personal and professional growth

Opportunities For Advancement:

• Potential for career growth within a global organization and exposure to cutting-edge technologies

visa Sponsorship:

Available