Data Science Internship in After-Sales Division

vor 4 Wochen

Stuttgart, Baden-Württemberg, Deutschland Mercedes-Benz Vollzeit
Position Overview

Join our dynamic team at Mercedes-Benz as an Intern in Data Analysis/Data Science within the After-Sales sector. This role offers a unique opportunity to delve into workshop data and marketing insights, enabling you to contribute to our strategic initiatives aimed at enhancing customer engagement.

Key Responsibilities

As an intern, you will:

  • Analyze workshop data and marketing leads to uncover trends and patterns that inform customer preferences.
  • Leverage your analytical skills to identify potential customer engagement opportunities, thereby improving marketing strategies.
  • Develop a Proof-of-Concept for a scoring system that predicts customer lead acceptance, facilitating data-driven decision-making.
  • Engage with various stakeholders to ensure alignment on project objectives and deliverables.
  • Collaborate with interdisciplinary teams to define data requirements and maintain data integrity.
  • Contribute innovative ideas to enhance existing data products.
  • Assist in creating clear and comprehensive technical documentation.
Skills Development

This internship will allow you to cultivate a range of skills, including:

  • Advanced Data Analysis: Gain proficiency in analyzing complex datasets to derive actionable insights.
  • Predictive Modeling: Learn to develop models that forecast customer behavior, refining marketing approaches.
  • Proof-of-Concept Development: Acquire skills in transforming raw data into practical business solutions.
  • Stakeholder Communication: Enhance your ability to convey complex data insights to diverse audiences.
  • Project Management: Experience leading projects from conception through execution and evaluation.
  • Cloud Computing: Develop competencies in cloud environments, a vital skill in today’s data landscape.
Qualifications

We are looking for candidates who possess:

  • Strong analytical skills with attention to detail.
  • Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar.
  • Experience with data visualization techniques to communicate findings effectively.
  • Understanding of statistical analysis and machine learning concepts.
  • A collaborative mindset to work effectively in team settings.
  • Familiarity with cloud platforms and big data technologies.
  • Fluency in English.
Additional Information

We encourage you to explore the benefits of working with us, including flexible working hours, opportunities for professional development, and a supportive work environment.

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