Atreides is seeking a Senior Data Scientist to lead deep analytical investigations and architect workflows for pattern identification, anomaly detection, and interaction analysis across disparate data sources. The ideal candidate will have 5+ years of experience in data science, applied analytics, machine learning, or analytical R&D, and advanced expertise in Python and distributed compute frameworks.
Requirements
- 5+ years of experience in data science, applied analytics, machine learning, or analytical R&D
- Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks)
- Strong background in statistical inference, anomaly detection, clustering, interaction modeling, or other analytical methods suited to large and heterogeneous datasets
- Experience working with multi-source, semi-structured, geospatial, or entity-centric data
- Demonstrated success building data quality, validation, or reliability frameworks
- Excellent communication, mentorship, and cross-functional collaboration skills
Benefits
- Competitive salary
- Comprehensive health, dental, and vision insurance plans
- Flexible hybrid work environment
- Additional benefits like flexible hours, work travel opportunities, competitive vacation time and parental leave
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