Description:

Kpler is seeking a Senior Data Scientist to join their risk and compliance team in Paris, focusing on maritime domain awareness.
The role involves developing algorithms to detect deviations from normal maritime activity and identify deceptive shipping practices.
Responsibilities include designing, experimenting, developing, testing, and deploying data science models for flow forecasting and anomaly detection.
The candidate will optimize and fine-tune models in production, monitor deployed models, and manage model and data drift.
The position requires building robust data integration pipelines from diverse sources, including geospatial data and ship mobility data.
The Senior Data Scientist will research methods and data sources to enhance model accuracy and drive business impact.
The role includes delivering end-to-end features, making cost-effective design decisions, and leading projects independently.
The candidate will identify opportunities for new projects and collaborate with product teams to develop value-adding features.
Knowledge sharing and mentoring junior data scientists are key aspects of the role.
The position is part of a vibrant Machine Learning community at Kpler, addressing a wide range of ML challenges.
The tech stack includes Python, TensorFlow, PyTorch, AWS, and various big data technologies.

Requirements:

A minimum of 5 years of experience in a Data Science role, with a track record of deploying models into production is required.
Proven experience in delivering end-to-end machine learning solutions that generate business value is essential.
Proficiency in Python is mandatory.
Expert knowledge of at least one cloud computing platform, preferably AWS, is required.
Fluency in English is necessary.
Nice to have: expertise in geospatial data and mobility analytics, experience with big data technologies like Spark and Kafka, and familiarity with ML pipeline technologies.
A Ph.D. in a quantitative field is desirable but not mandatory.
Familiarity with the shipping industry and commodity trading is a plus.
Comfort with software engineering best practices and a focus on code simplicity and performance is beneficial.
Experience in an international environment is advantageous.

Kpler fosters a dynamic and inclusive work environment, encouraging diverse perspectives and ideas.
The company is committed to employee growth and development, providing opportunities for mentorship and knowledge sharing.
Kpler values customer satisfaction and innovation, creating a supportive atmosphere for turning ideas into reality.
The organization promotes a culture of collaboration and creativity to address market challenges effectively.
Kpler is an equal opportunity employer, welcoming applicants from various backgrounds and experiences.