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.
About Us
At the heart of global supply, Trafigura connects vital resources to power and build the world. Through our Metals and Minerals, Oil & Petroleum Products and Gas, Power and Renewables, commercial divisions, we use infrastructure, logistics and financing to connect producers and consumers, using our deep understanding of the markets we serve to make supply more efficient, secure and sustainable.
We are accelerating our investments in renewable energy, including hydrogen, ammonia and other low-carbon energy technologies required for the transition to a low carbon future. We are committed to responsible business practices and we work with our stakeholders to improve environmental and social standards, bringing greater trust and transparency to global supply chains.
A career at Trafigura offers a gateway to working on some of the most exciting challenges of a rapidly changing world – from helping to optimise supply chains to developing infrastructure and new markets. In a culture that is founded on openness and energy, our people work as part of a multinational, globally connected team and thrive in a fast-paced environment where they can nurture and commercialise bold ideas. Everyone has a voice and is empowered to collaborate across geographies and disciplines to help shape our business and the wider world. We know the importance and value of diversity in our business and we invest in attracting, developing and retaining talent from all backgrounds.
Founded in 1993, Trafigura is one of the largest independent employee-owned commodities groups in the world with over 12,000 people working across more than 60 offices. The Trafigura Group owns global multi-metals producer Nyrstar; fuel storage and distribution company Puma Energy; and joint ventures Impala Terminals, a port and logistics provider, and Nalo Renewables, investing in wind, solar and battery storage projects.
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