Data Scientist - Manufacturing (m/f/d)

IT & Technology

Your Tasks

  • You support the company mission by understanding complex business problems through data-driven solutions
  • You develop end-to-end ML production-ready solutions and new algorithms
  • You implement prototypes using suitable statistical tools and artificial intelligence algorithms
  • You prepare high quality research papers and participating in conferences to present and report experimental results and research findings
  • You drive innovation and efficiency by analyzing the data insights ranging from data exploration and feature engineering
  • You lead research and innovation and collaborating with internal team and facilitating review of ML-systems to prototype new models
  • You design and develop machine learning techniques using Python
  • You manage interns and new hires in developing research pipelines

Your Profile

  • You bring fluency in English for our internal communication and fluency in German for our external communication
  • You have a Ph.D. / Masters with 2+ years of industrial experience in Computer Science, Industrial or Electrical Engineering, Machine Learning, Mathematical Optimization, Statistics or Mathematics
  • You have practical experience with ML in research and development projects 
  • You are able to work on multiple projects. Must have strong design and implementation skills
  • You are experienced with large-scale production code development is a plus
  • You possess the ability to conduct research based on complex business problems
  • You have strong presentation skills and the ability to collaborate in a multidisciplinary team
  • You have programming experience in Python
  • You are familiar with Docker, ML Libraries like PyTorch, sklearn, pandas, SQL is a plus

Our Benefits

  • Culture of innovation, creativity, learning, and even failure, we believe in bringing the best in you
  • Progressive leave policy for effective work-life balance
  • Get mentored by highly qualified internal resource groups and opportunity to avail industry-driven mentoring program, as we believe in empowering people
  • Multicultural peer groups and supportive workplace policies
  • Exchange program cross country-wise
  • Please submit your documents in English

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Work Hours:

Flexible hours per week