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Senior Data Scientist

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Kpler

1mo ago

  • Job
    Full-time
    Senior Level
  • Data
    Research & Development
  • Paris
  • Quick Apply

AI generated summary

  • You must have 5+ years in data science, experience in end-to-end ML solutions, proficiency in Python, expertise in a cloud platform (preferably AWS), and fluency in English.
  • You will design and deploy data models, optimize production performance, build data pipelines, mentor juniors, and collaborate on ML projects while ensuring model accuracy and scalability.

Requirements

  • 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.

Responsibilities

  • 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.

FAQs

What is the primary focus of the Senior Data Scientist role at Kpler?

The primary focus is to develop algorithms that detect deviations from normal maritime activity and identify deceptive shipping practices using high volumes of dispersed and often imbalanced data.

What types of projects will the Senior Data Scientist work on?

The Senior Data Scientist will work on projects including designing and deploying data science models for flow forecasts and anomaly detection, optimizing models in production, building data integration pipelines, and researching methods to improve model accuracy.

What programming languages and technologies should I be familiar with for this role?

You should be proficient in Python and familiar with machine learning libraries such as TensorFlow, PyTorch, scikit-learn, and data processing technologies like Apache Spark and Kafka.

What are the mandatory requirements for applying to this position?

The mandatory requirements include at least 5 years of experience in a data science role, proven experience delivering end-to-end ML solutions, proficiency in Python, expert knowledge of a cloud computing platform (preferably AWS), and fluency in English.

Are there opportunities for professional growth in this position?

Yes, the role offers the opportunity to lead projects independently, mentor junior data scientists, and engage with a vibrant Machine Learning community within Kpler.

Is geospatial data expertise a requirement for the role?

While expertise in geospatial data and mobility analytics is highly desirable, it is not mandatory for the role.

What type of work environment does Kpler promote?

Kpler promotes a fair, inclusive, and diverse work environment, encouraging people from different backgrounds and perspectives to apply.

How does Kpler value customer satisfaction?

Kpler prioritizes customer satisfaction by nurturing connections and innovating solutions to market challenges, ensuring that they turn ideas into reality effectively.

What is the hiring policy regarding applicants who don't meet all requirements?

Kpler encourages applicants who may not meet every single requirement to apply, emphasizing that they value diverse experiences and perspectives in their team.

Will the Senior Data Scientist role involve collaboration with other teams?

Yes, the role will involve identifying opportunities for novel projects and liaising with product teams to translate ideas into value-adding features.

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Kpler

The go-to source for global trade intelligence

Technology
Industry
501-1000
Employees
2014
Founded Year

Mission & Purpose

Kpler is a fast-growing data and analytics firm on a mission to build one platform for global trade intelligence. Imagine a world where individuals and organisations have seamless and timely access to the most comprehensive and trustworthy data and insights on commodities, energy, containerised goods, and other crucial aspects of global trade. This world is Kpler. For a decade, we've set the standard in data and analytics for global trade. Kpler has expanded impressively, multiplying its size by five in just three years. We've been profitable from the start. Proudly, our company remains primarily owned by its founders and team members. We're dedicated to crafting industry-leading products that optimize performance and efficiency. This commitment is a key reason behind our continuous growth since our first product launch. The evolution of Kpler was punctuated by strategic mergers and acquisitions. The acquisition of ClipperData (2021) and JBC Energy (2022) fortified its foothold in the commodities and data sectors. The integration of COR-e (2022) facilitated entry into the European power market. In 2023, Kpler made significant strides by acquiring the two leading ship tracking and maritime analytics providers MarineTraffic and FleetMon. Kpler now provides essential insights into the movements and activities of vessels across seas, oceans and rivers.

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.