Advanced Analytics Consultant in Data Science Solutions

vor 4 Wochen

Köln, Nordrhein-Westfalen, Deutschland msg Vollzeit

Position: Advanced Analytics Consultant in Data Science Supply Solutions (m/w/d)

Are you enthusiastic about innovative technologies and optimizing processes and systems? We invite you to contribute to the development of digital solutions in Master Data Management (MDM), Business Intelligence (BI), Analytics, Big Data, and the Internet of Things (IoT) to assist organizations in extracting actionable insights from data and intelligently digitizing processes for future readiness.

About Our Organization:

msg is a globally recognized independent group with a workforce exceeding XXX employees, specializing in strategic consulting and sustainable IT solutions across diverse sectors.

  • Engage in national and international client engagements as a key consultant
  • Assist clients throughout all stages of project execution
  • Collaborate with a team to create innovative solutions centered on Descriptive and Predictive Analytics, employing techniques from Artificial Intelligence (AI) and Machine Learning
  • Develop your analytical capabilities and experience agile methodologies in a cutting-edge technological environment with numerous opportunities for personal and professional advancement
  • Participate actively in our interdisciplinary Advanced Analytics Community

Qualifications:

  • Degree in Business Informatics, Mathematics, Computer Science, or Statistics
  • Familiarity with analytical techniques, Data Mining, Natural Language Processing (NLP), Machine Learning, Neural Networks, or Deep Learning
  • Proficiency in relevant programming languages/technologies such as Spark, Python, R, NoSQL databases, Microsoft PowerBI, Tableau
  • Strong analytical mindset and effective communication skills in both German and English, along with flexibility, mobility, and a readiness to travel

What We Provide:

  • Emphasis on employee well-being
  • Commitment to sustainable projects and social responsibility
  • Promotion of diversity and equal opportunities
  • Supportive team environment, autonomy, and flexibility
  • Tailored development and mentoring programs
  • Work-life balance and corporate benefits
  • Options for remote work

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