Lead Data Scientist

Geneva - Traf Office

Trafigura

Trafigura

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Main Purpose:

We are seeking an experienced data scientist to lead the development of advanced analytics and decision-support tools within a research-driven environment. The ideal candidate will collaborate with a team of scientists, engineers, and key stakeholders to create and implement robust statistical and machine learning models aimed at enhancing decision-making and research insights. These tools will incorporate a range of computational techniques, including machine learning, optimization, and statistical modeling, to provide innovative solutions.

Knowledge Skills and Abilities, Key Responsibilities:

Knowledge, Skills and Abilities

  • Experience: 10+ years in professional research with a solid track record in data science, statistical modeling, and algorithm development.
  • Education: Required Ph.D. in either Applied Mathematics, Physics, Computer Science, or a closely related field.
  • Technical Expertise: Proficiency in Python or SQL, with significant experience in quantitative analysis, machine learning frameworks, and advanced statistical methods.
  • Communication Skills: Strong ability to convey technical concepts effectively to non-technical audiences.
  • Applied Statistical and Machine Learning Skills: Demonstrated experience in building and deploying machine learning and statistical models within a research or business setting.
  • Optimization Applications: Familiarity with optimization techniques, such as linear programming and Monte Carlo methods, for analytical or decision-support applications.
  • Data Engineering Knowledge: Understanding of ETL processes and experience with AWS cloud infrastructure.
  • Visualization Platforms: Experience with platforms such as Tableau or Streamlit is a plus.

Key Responsibilities

  • Development and Maintenance of Analytical Models: Build, manage, and refine models and applications to support decision-making in research and analysis.
  • Cross-Functional Collaboration: Work closely with interdisciplinary teams, including researchers, engineers, and project stakeholders, to address complex data challenges with advanced data science techniques.

Key Relationships and Department Overview:

Key Relationships

  • Report directly to the Chief Data Scientist.
  • Collaborate with global research leaders and data science teams.
  • Interface regularly with both technical and non-technical stakeholders to present data insights and findings.

Competencies

  • Strong analytical and problem-solving skills with an aptitude for innovation.
  • Proven ability to apply data science and analytics creatively to address diverse research challenges.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Computer Science Engineering ETL Machine Learning Mathematics ML models Monte Carlo Physics Python Research SQL Statistical modeling Statistics Streamlit Tableau

Region: Europe
Country: Switzerland

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