Lead Data Scientist

Vor 7 Tagen

Genf GE, Schweiz Trafigura Vollzeit

Main Purpose:
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.
- 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
- 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.

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