Data Scientist Engineering Manager
Europe (Remote)
Kpler
Unlock global trade intelligence with Kpler. Real-time data for businesses to plan, grow, and thrive sustainably.
In a world where trades are happening faster than ever to answer our needs, where sustainability is not just an option anymore, clarity and trust in the information we trade with are a must.
So, say hello to Kpler! We exist to facilitate sustainable and efficient trade to meet the changing needs of our world. To do so we've built a Data-as-a-Service solution that does exactly that across the lifecycle of a trade.
Our solution aggregates data from hundreds of sources including radar and satellite imagery as well as logistics, governmental, shipping databases and more. Intelligently connecting the dots across fragmented information landscapes, we bring to our clients a unique, real-time understanding of the trades happening all over the world, by giving them access to live information about the movement of cargos, the availability of vessels as well as the commodity storage.
To support this endeavor we have teams in more than 7 countries and 8 key locations (Brussels, Paris, London, Vienna, Dubai, Singapore, Houston and New York). With individuals of various backgrounds, diverse skills, and international experiences, being global & inclusive is in our DNA!
We are looking for a Data Science Manager to join our Engineering team!
Your role will be to help our teams by ensuring Data Science is embedded in our cross-functional teams solving the hardest problems for our customers.
You will be at the crossroads of engineering, product and data. You will work in cooperation with a Product Manager and an Engineering Manager in order to ship an outstanding, state of the art product.
More specifically, you will:-Bring Data Science excellence to various product teams-Staff, structure and drive a Data Science team-Contribute to the continuous improvement of our processes and tools-Lead R&D on the different projects, across multiple teams-Coach and mentor Data Scientists with different levels of seniority-Manage and challenge stakeholders expectations
At Kpler, we also expect Data Scientists to be 'hands-on' and have a good understanding of the technical challenge required to build, deploy, and run models in production (“you build it you run it”). Some level of hands-on experience with one (or many) of these technologies is required: AWS, Python, Pandas, PyTorch, XGBoost, LightGBM, Shapely.Our values
• Be humble - We always place the interests of the collective before your own.• Respect and care for others - We make every person feel comfortable in their own beliefs, decisions, and perspectives. • Take responsibility - We take ownership of our actions.• Act with integrity -We are honest and transparent in all your dealings.• Be bold - We push the boundaries in order to improve and grow.
You’ll get to work in a truly global environment, with more than 30 nationalities speaking more than 15 languages.
Our People Pledge
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.
So, say hello to Kpler! We exist to facilitate sustainable and efficient trade to meet the changing needs of our world. To do so we've built a Data-as-a-Service solution that does exactly that across the lifecycle of a trade.
Our solution aggregates data from hundreds of sources including radar and satellite imagery as well as logistics, governmental, shipping databases and more. Intelligently connecting the dots across fragmented information landscapes, we bring to our clients a unique, real-time understanding of the trades happening all over the world, by giving them access to live information about the movement of cargos, the availability of vessels as well as the commodity storage.
To support this endeavor we have teams in more than 7 countries and 8 key locations (Brussels, Paris, London, Vienna, Dubai, Singapore, Houston and New York). With individuals of various backgrounds, diverse skills, and international experiences, being global & inclusive is in our DNA!
We are looking for a Data Science Manager to join our Engineering team!
Your role will be to help our teams by ensuring Data Science is embedded in our cross-functional teams solving the hardest problems for our customers.
You will be at the crossroads of engineering, product and data. You will work in cooperation with a Product Manager and an Engineering Manager in order to ship an outstanding, state of the art product.
More specifically, you will:-Bring Data Science excellence to various product teams-Staff, structure and drive a Data Science team-Contribute to the continuous improvement of our processes and tools-Lead R&D on the different projects, across multiple teams-Coach and mentor Data Scientists with different levels of seniority-Manage and challenge stakeholders expectations
At Kpler, we also expect Data Scientists to be 'hands-on' and have a good understanding of the technical challenge required to build, deploy, and run models in production (“you build it you run it”). Some level of hands-on experience with one (or many) of these technologies is required: AWS, Python, Pandas, PyTorch, XGBoost, LightGBM, Shapely.Our values
• Be humble - We always place the interests of the collective before your own.• Respect and care for others - We make every person feel comfortable in their own beliefs, decisions, and perspectives. • Take responsibility - We take ownership of our actions.• Act with integrity -We are honest and transparent in all your dealings.• Be bold - We push the boundaries in order to improve and grow.
You’ll get to work in a truly global environment, with more than 30 nationalities speaking more than 15 languages.
Our People Pledge
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Engineering LightGBM Pandas Python PyTorch R Radar R&D XGBoost
Perks/benefits: Career development
Regions:
Remote/Anywhere
Europe
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