TL;DR
Data Scientist (Data Science, ML): Building and optimizing highly accurate cargo tracking models to provide live trade insights for the global maritime transport industry with an accent on devising forecasting models, predicting future trades, and detecting anomalies. Focus on designing, experimenting, and deploying data science models into production, ensuring optimal performance and scalability.
Location: Hybrid in France
Company
hirify.global, founded in 2014, helps clients navigate complex markets by simplifying global trade information and providing valuable insights in commodities, energy, and maritime sectors.
What you will do
- Design, experiment, develop, test, and deploy data science models based on project requirements.
- Optimize and fine-tune models in production, overseeing continuous monitoring and handling drift.
- Ensure optimal, cost-effective design decisions to improve performance and overcome scalability limits.
- Research and identify methods, data sources, and features to drive business impact and improve model accuracy.
- Demonstrate strong analytical and debugging skills with a proactive approach to learning.
Requirements
- Experience: At least 2 years in a Data Scientist role, deploying models into production.
- Proven experience delivering end-to-end ML solutions that produce business value.
- Proficiency in Python.
- Experience with ML and geospatial libraries such as TensorFlow, PyTorch, geopandas, scikit-image, and XGBoost.
- Experience developing and deploying models using MLOps platforms (Dataiku, Databricks, Sagemaker, etc.).
- Experience working with timeseries data.
- Familiarity with software engineering best practices.
- English: Fluent required.
Nice to have
- Experience with Dataiku.
- Experience with big data technologies, specifically Spark, Redshift or BigQuery.
- Knowledge of at least one cloud computing platform (preferably AWS).
- Expertise on applications focusing on geospatial data and mobility analytics.
- Familiarity with the shipping industry and commodity trading.
- Experience working in an international environment.
Culture & Benefits
- Dynamic company dedicated to nurturing connections and innovating solutions.
- Values of acting decisively, building together, and being accessible/supportive.
- Committed to providing a fair, inclusive, and diverse work environment.
- Encourages applications even if not meeting 100% of requirements.
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