Data Scientist at Kpler

France

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Commodities, Energy, MaritimeIndustries

Requirements

At least 2 years of experience in a Data Science role, deploying models into production
Proven experience delivering end-to-end ML solutions that produce business value
Proficient in Python
Experience with ML and geospatial libraries such as TensorFlow, PyTorch, geopandas, scikit-image, and transformers like XGBoost
Experience developing and deploying models using MLOps platforms (Dataiku, Databricks, SageMaker, etc.)
Experience working with time series data
Familiar with software engineering best practices
Fluent in English

Responsibilities

Working alongside data engineers, product managers, and other data scientists, take responsibility for the design, experimentation, development, testing, and deployment of data science models based on project requirements and specifications
Optimise and fine-tune models in production, overseeing continuous monitoring of deployed models, and effectively handling model and data drift promptly
Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits
Research and identify methods, data sources, and features that drive business impact and improve model accuracy
Demonstrate strong analytical and debugging skills with a proactive approach to learning

Skills

Key technologies and capabilities for this role

Data ScienceMachine LearningForecastingAnomaly DetectionModel DeploymentModel MonitoringModel OptimizationData DriftModel Drift

Questions & Answers

Common questions about this position

What experience level is required for this Data Scientist role?

At least 2 years of experience in a Data Science role, deploying models into production, and proven experience delivering end-to-end ML solutions that produce business value.

What programming languages and technical skills are needed?

Proficiency in Python is required, along with experience in ML and geospatial libraries such as TensorFlow, PyTorch, geopandas, scikit-image, and XGBoost, plus timeseries data and MLOps platforms like Dataiku, Databricks, or Sagemaker.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this Data Scientist position?

Candidates with 2+ years in DS deploying models to production, end-to-end ML experience producing business value, Python proficiency, ML/geospatial libraries, timeseries data, and MLOps platforms stand out; nice-to-haves include Dataiku, big data tech like Spark, and AWS.

Kpler

Provides data and analytics for commodity markets

About Kpler

Kpler provides intelligence solutions for commodity markets, focusing on over 25 different commodities including oil, gas, LNG, and maritime freight. The company offers real-time data and analytics through various platforms such as a web-based terminal, API, SDK, and Excel add-in, allowing clients to easily integrate this information into their workflows. Kpler's clients, which include portfolio managers, investment firms, and brokers, use its data to make informed decisions regarding commodity flows, storage levels, and market trends. Unlike its competitors, Kpler emphasizes transparency and accuracy, providing detailed insights into complex markets, such as U.S. crude oil export flows and global storage inventories. The company's goal is to empower clients with expert insights and reliable data solutions to navigate volatile markets.

Paris, FranceHeadquarters

2014Year Founded

$214MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Data & Analytics, Financial ServicesIndustries

501-1,000Employees