Data Scientist

Company Description

We are the largest independent energy and commodities trading company in the world. Each day, we employ our expertise and logistical networks to distribute energy globally, doing so efficiently and responsibly. From our 40 offices worldwide, we aim to bring value to the energy supply chain, including using our size and market understanding to help with the energy transition. We have, to this point, committed capital exceeding $2.2 billion to renewable projects and continue to identify and develop low-carbon opportunities globally.

Our people are our business. We greatly value talent and strive to create an environment where individuals can fully realize their potential, unencumbered by hierarchy. Our team consists of over 65 nationalities and we are dedicated to developing and maintaining a diverse workforce. .

Job Description

The Data Scientist at Vitol impacts the entire data science workflow: from collaborating with business stakeholders to define the project, to data collection and processing, exploratory analysis, model selection and tuning, and implementation of production models or custom visualizations. We extract value from data in various ways; hence, experience in exploring and gaining insights from data is just as crucial as the ability to construct complex models. A good visualization can be as important as a small MAE when it comes to leveraging data for business outcomes. The data we work with is often complex and unstructured, so a successful Data Scientist at Vitol must be willing to delve into the data to achieve results.

The data scientist will routinely work directly with traders, brokers, analysts, and researchers across nearly all aspects of Vitol to understand the data that is fed into internal models and the business problems that need resolutions. However, daily collaboration mainly occurs within the small and highly agile Data Science team.

Responsibilities include:

• Being a dynamic and committed member of a team uniquely situated to utilize the power of data to understand the inner workings of the energy industry.
• Exploring new datasets, gaining insights, and visualizing the results.
• Standardizing and structuring data in clear, easily understood, extendable ways.
• Applying machine learning models in innovative ways to diverse data sets to optimize Vitol's multifaceted businesses.
• Aiding in reviewing the code and experimental design of other Data Scientists to ensure high production quality.
• Building data expertise with domain experts in specific sectors of Vitol's operations.
• Assisting in implementing the models and custom visualizations mentioned above to drive business value.
   

Qualifications

Essential Qualifications

• A degree in a STEM subject with a comprehensive understanding of coding best practices.
• 3-5+ years of industry experience as a data scientist implementing machine learning models on real-world data.
• Profound experience in presenting complex data visually to a broad audience (using tools such as plotly, bokeh, etc.).
• Extensive experience in exploring and extracting insights from diverse, multidimensional data sets.
• Python (3) fluency, with the ability to write clean, modular, well-documented code in a collaborative development setting.
• Advanced coursework in math, statistics, and machine learning is preferred.
• Demonstrable attention to detail.

Desired Experience

• Time series modelling (both machine-learning and econometric approaches).
• Application of a wide range of machine learning methodologies to real-world problems.
• Enterprise software development (code design, code review, version control, etc.).
• Cloud-based data science workflows (especially AWS) and knowledge of AWS services.
• Experience in constructing pipelines in Python and on AWS.
• Familiarity with continuous integration and delivery concepts/technologies.
• Experience with , NLP and deep-learning are considered bonuses.

Additional Information

Personal Characteristics

• A self-motivated individual who thrives on seeing their work impact the business.
• Strong communication skills, both orally and in writing - passionate about using data to tell a story.
• An acute sense for the art of the possible.
• Proven flexibility and hard work ethic, both independently and collaboratively.
• Methodical and organized - in general, in experimental design, and in code!
• Strong analytical, mathematical, and problem-solving skills coupled with attention to detail.
• An interest in learning about the commodities space.
• Resourcefulness and ability to think creatively and adapt in a fast-paced and energetic environment.
• Team player with an open, non-political style and a high level of personal integrity.
• A desire to be a thought-partner in a rapidly growing team and make an impact in a business that is central to world energy flows.

What we offer

• Highly diverse projects with real-world impacts on a truly global scale.
• Entrepreneurial environment within a flat hierarchy, where brilliant ideas quickly come to life.
• Close collaboration with various business units across our key regions (for instance, London, Singapore, Houston, Geneva).
• A highly motivated DS team of experienced professionals with a supportive attitude and exceptional team spirit.
• Being part of the energy transition through increased focus on renewable & alternative energy sources at a crucial juncture in the industry.
• Strong management commitment to incorporating data science into the future of Vitol's operations.