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CHEManager International

Applied Scientist - Logistics Algorithms (all genders)

CHEManager International

Berlin, Germany முழு நேரம்

முதல் ஆளாக விண்ணப்பிக்கவும்

அனுபவம்
ஏதேனும்
சம்பளம்
காலியிடங்கள்
1
பதிவுசெய்யப்பட்டது
3 மணி நேரம் முன்
வேலை முறை
அலுவலகத்தில்
கல்வி
Master's or PhD in relevant quantitative field
சுயவிவரம்
விண்ணப்பிக்க வேண்டும்

நீங்கள் பணிபுரியும் இடம்

பணி விளக்கம்

Role Overview and Team

As an Applied Scientist within the logistics team, you will engage in research-driven development of algorithmic software solutions. The role focuses on improving warehouse efficiency by addressing complex stochastic optimization challenges that meld combinatorial optimization with data science, impacting scheduling, planning, and routing for millions of customer orders weekly.

Inclusive Hiring Commitment

This company fosters an inclusive environment, valuing diversity without discrimination based on gender identity, sexual orientation, ethnicity, religion, disability, or personal expression. Applications do not require photos, age, or marital status. Reasonable accommodations are available upon request to support all candidates throughout the hiring process.

Key Responsibilities

  • Drive the research, design, and implementation of advanced algorithms and predictive modeling techniques.
  • Deliver complete end-to-end software solutions, including research, prototyping, production development, testing, and maintaining high-availability systems.
  • Shape and improve research and development practices to support scalable, data-driven architectures.
  • Mentor and support applied science colleagues through knowledge sharing and collaboration.

Ideal Candidate Profile

  • Holds a Master's or PhD in Mathematics, Computer Science, or related quantitative fields with practical experience in operational research and machine learning contexts.
  • Possesses solid understanding of diverse algorithmic approaches, including combinatorics, graph theory, control theory, as well as mathematical modeling methods from operations research and statistics, and machine learning techniques such as forecasting and Bayesian networks.
  • Demonstrates a passion for complex mathematical problem solving with an emphasis on real-world application.
  • Experience with microservice-based software engineering or data processing is advantageous.
  • Exhibits strong teamwork and communication skills in agile, cross-functional settings involving engineers, product owners, and scientists.

Additional Information

Applicants are encouraged to engage with a representative stochastic optimization challenge demonstrating a typical problem of the role; submissions of a solution are welcomed in place of traditional cover letters.

Employee Benefits

  • Participation in employee share programs.
  • Significant discounts on fashion and beauty products, including Zalando and partner offers.
  • Two paid days annually devoted to volunteering.
  • Flexibility to work abroad for up to 30 working days each year.
  • Starting vacation entitlement of 27 days annually.
  • Relocation support subject to prior agreements.
  • Access to family services such as counseling and support.
  • Health and wellness programs including gym memberships.
  • Available mental health support and coaching services.

பதில் வேண்டுமென்றால் இதை அப்படியே விட்டுவிடுங்கள் — நாங்கள் இதை வேறு எதற்கும் பயன்படுத்த மாட்டோம்.

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