Senior Data Scientist, Kpler
Real-time trade intelligence tools for global markets
Job no longer available
Real-time trade intelligence tools for global markets
501-1000 employees
Job no longer available
501-1000 employees
Company mission
To facilitate efficient and sustainable trade through the provision of state-of-the art, technology-led data, analytics and market insight.
Role
Who you are
- You have at least 5 years of experience in the DS role, deploying models into production
- You have proven experience delivering end-to-end ML solutions that produce business value
- You are proficient in Python
- You have expert knowledge of at least one cloud computing platform (preferably AWS)
- You are fluent in English
Desirable
- You have expertise on applications focusing on geospatial data and mobility analytics (highly desirable)
- You have proven experience with big data technologies, specifically Spark and Kafka
- You have experience working with state-of-art ML pipeline technologies (such as MLflow, Sagemaker...) or building a ML pipeline by yourself (Docker, Kubernetes, Paperspace, Airflow...)
- You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering...)
- You are familiar with the shipping industry and commodity trading
- You are comfortable with software engineering best practices
- You value code simplicity, performance and attention to detail
- You have experience working in an international environment
What the job involves
- Driving the design, rapid experimentation, development, testing and deployment of data science models for flow forecast models and anomaly detection
- Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, and effectively handling model and data drift promptly
- Building robust pipelines for integrating data from diverse sources, including big geospatial data, ship mobility data, and document recognition; Researching and identifying methods, data sources, and features that will drive business impact and improve models’ accuracy in the current scope of ever-changing world-scale commodity trading
- Devise efficient solutions to tackle ML/Big Data challenges using relevant, up-to-date methods and technologies
- Work across the stack to deliver new features end-to-end, from prototyping, to deployment and caring for data drift in production
- Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits
- Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company
- Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features
- Actively share knowledge and document insights, effectively communicate complex concepts and analysis to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration
- Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects
- Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems
Salary benchmarks
Our take
Even as more and more industries digitise, processes in legacy industries such as trade remain relatively archaic – with commodity markets running on incomplete, dispersed and sometimes inaccurate information. Kpler, founded in 2014, brings data technology to trade, in order to make the space more efficient and sustainable.
Kpler is the leader in its field, claiming ten times the revenue and commercial footprint of its nearest competitor. The company supplies real-time, transparent data on commodity markets, as well as actionable insights for those acting in the industry. Partnerships with leading data providers and analytics firms have bolstered Kpler’s offerings to cover a range of markets across the trading space, cementing its leadership as a provider of commodity market data.
On top of this, the company has secured massive funding for its continued expansion, received atop already impressive growth and between 2022 and 2023, acquired five companies. The investment is being used to make more smart acquisitions, of note within the growing maritime analytics and logistics market, hire talent, and accelerate development to ensure it remains at the forefront of its field.
Steph
Company Specialist at Welcome to the Jungle
Insights
92% employee growth in 12 months
Company
Funding (1 round)
Apr 2022
$220m
GROWTH EQUITY VC
Total funding: $220m
Company benefits
- Hybrid working environment: Work in office spaces at central locations, sponsored co-working hubs or in a full-remote set-up.
- WFH monthly allowance: We provide top of the range office equipment along with a set-up budget for whatever you need. Along with a monthly allowance for electricity and wi-fi.
- Health insurance coverage: We offer health insurance coverage for employees to ensure you are always safe and healthy.
- Time-off when you need it: Global maternity, parental, medical, festivals, and compassionate leave policies aligned to the contemporary needs of the family, and individual choices.
- Regular outings and social events: We hold regular events (online and on-site) for staff to socialise and interact with each other in the team.
Company HQ
Etterbeek, Brussels
Leadership
Jean Maynier
(Co-Founder & CTO)Non-Executive Director at Spark Commodities. Co-founder and former CEO of eCO2Market. Previously a System Adviser at CDPQ, with experience as a Business Analyst.
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