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Mid LevelFull-timePythonData Science
Salary Range
$66,300 - $89,700 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Analyst to join Kpler's Cargo Models team. This role focuses on ensuring the reliability and consistency of Kpler’s cargo tracking and forecasting models, which provide critical intelligence for global commodity markets.
Key Responsibilities
- →Implement and maintain quantitative and qualitative data quality metrics
- →Design and maintain dashboards, reports, and automated checks using Python, SQL, Streamlit, and Dataiku
- →Detect and alert on anomalies and inconsistencies in model outputs and data
- →Perform root-cause analysis on data quality issues
- →Support continuous improvement of Cargo Models by providing structured feedback
- →Collaborate with team members and stakeholders to share insights
- →Document data quality processes and metrics definitions
Requirements
- ✓3+ years of experience in data analysis, data quality, analytics, or data science
- ✓Proven experience working with large, complex datasets and analytical pipelines
- ✓Experience evaluating or monitoring model outputs in production
- ✓Strong experience using SQL and Python for data analysis and validation
- ✓Designed and implemented data quality metrics and automated monitoring pipelines
- ✓Familiarity with logging frameworks, BI tools, and data visualization platforms
- ✓Solid understanding of evaluation metrics to assess data and model performance
- ✓Bilingual or fluent in English
- ✓Nice to have
- ✓Knowledge of commodities, maritime, logistics, or energy market
- ✓Experience in a data-driven SaaS or intelligence company
- ✓Exposure to forecasting, classification, or anomaly detection models
