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Senior Data Scientist
KplerAthensΧειρουργός
Medecins Sans FrontieresAthens, GRΕπιμελητής / τρια - Μουσείο Φιλελληνισμού
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Global CareerAthens, GreeceCroatian-Speaking Customer Support Agent
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ΤοπουλουΑθήνα, Ελλάδα (Απομακρυσμένη), GreeceSenior Data Scientist
KplerAthensAt Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform.Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries.Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the rol Maritime domain awareness and commodity tracking involve the effective fusion of fragmented information that compose the complex commodity flows landscape. When combined efficiently, vessel tracking data and trading history, commodity supply and demand, proprietary trading data, and machine learning algorithms provide an understanding of events at ports and on open seas at different levels of granularity. Rapidly evolving global geopolitical developments and tensions significantly affect trading, disturbing the supply chain and altering commodity flow patterns which brings more uncertainty about the modelling of these phenomena. As a senior data scientist with Kpler’s Flows team, you will develop algorithms that extend our comprehension of commodities flows in space and time by devising forecasting models, predicting future trades, detect anomalies in data and anomalous behaviour of various players.
Some of the exciting projects you will work on include :
- 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;
As a senior data scientist, you will :
Our Machine Learning tech stack includes :
Mandatory requirements :
Nice to haves but not mandatory :
We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us?we make things happenWe act decisively and with purpose, and we like to go the extra mile.we build togetherWe foster relationships and develop creative solutions to address market challenges with cool features and solutions.hey, how can i help you today?Being accessible and supportive to colleagues and clients with a friendly approach is essential.Our People PledgeDon’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.