Tomsons is seeking a highly motivated and talented Data Scientist to join our team at our trading company, where we specialize in trading chemicals. As a Data Scientist, you will have a significant impact on the full workflow of data science, from collaborating with business stakeholders to define projects to the implementation of production models and custom visualizations. You will be responsible for extracting value from complex and messy data, exploring new datasets, and presenting complex data visually to a wide audience.

As a member of our highly agile Data Science team, you will have the opportunity to engage directly with traders, brokers, analysts, and researchers to understand the data that goes into internal models and the business problems that need to be solved. You will be responsible for standardizing and structuring data in clear, extensible, and easily understandable ways, applying machine learning models in novel ways, and reviewing the code and experimental design of other Data Scientists to ensure high-quality production.

We are looking for a self-motivated individual with strong communication skills, a keen sense for the art of the possible, and a desire to be a thought partner in a fast-growing team. The ideal candidate should have a solid understanding of coding best practices, 3-5+ years of industry experience working as a Data Scientist, and extensive experience exploring and extracting insights from heterogeneous multi-dimensional data sets. Fluency in Python (3) with the ability to write clean, modular, well-documented code in a collaborative development setting is essential.

Qualifications:

• Degree in a STEM subject with a solid understanding of coding best practices
• 3-5+ years of industry experience working as a Data Scientist with machine learning models applied to real-world data
• Extensive experience presenting complex data visually to a wide audience (plotly, bokeh, etc.)
• Extensive experience exploring and extracting insights from heterogeneous multi-dimensional data sets
• Fluency in Python (3) with the ability to write clean, modular, well-documented code in a collaborative development setting
• Advanced coursework in math, statistics, and machine learning preferred
• Demonstrable attention to detail

Desired Experience:

• Time series modeling (both machine-learning and econometric approaches, especially on small datasets)
• Application of a wide range of machine learning methodologies to real-life applications
• Enterprise software development (code design, code review, version control, etc.)
• Cloud-based data science workflows (on AWS in particular)

Personal Characteristics:

• A self-motivated individual who thrives on seeing the results of their work make an impact in the business
• Strong communication skills, both verbally and in writing – passionate about using data to help tell a story
• A keen sense of the art of the possible
• Proven ability to be flexible and work hard, both independently and collaboratively
• Methodical and organized – in general, in experimental design, and in code!
• Excellent attention to detail with strong analytical, mathematical, and problem-solving skills
• An interest in learning about the commodities space
• Resourceful and able to think creatively and adapt in a dynamic and energetic environment
• Team player, with an open non-political style and a high level of personal integrity
• Desire to be a thought partner in a fast-growing team, and make an impact at a business that sits at the heart of the world’s energy flows

What We Offer:

• A large diversity of projects with real-world impacts on a truly global scale
• The entrepreneurial environment within a flat hierarchy, where great ideas come to life quickly
• Close collaboration with various business units across our key regions (eg. London, Singapore, Houston, Geneva)
• A highly motivated DS team comprised of experienced individuals with a supportive attitude and great team spirit
• Being part of the energy transition through increased emphasis on renewable