Senior Data Scientist

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5 days ago

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Atreides

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SaaS • Government • Enterprise

Atreides is a SaaS analytics company that transforms petabytes of geospatial and geotemporal data into clear, actionable intelligence. Their platform ingests and fuses land, sea, air, cyber, and space datasets and applies proprietary attribution, modeling, and behavioral analytics to surface relationships, patterns, and anomalies in near real-time. Atreides serves defense, public sector, and commercial customers, enabling faster strategic and tactical decision-making by delivering curated, explainable insights rather than raw bulk data.

11 - 50 employees

☁️ SaaS

🏛️ Government

🏢 Enterprise

📋 Description

• Design and lead investigations into patterns, trends, and edge cases across filtered datasets. • Develop interaction models and fused analyses across multiple entity types and data modalities. • Design data validation, anomaly sanity checks, and analytical reliability frameworks to ensure analytical outputs behave correctly across varied data inputs. • Partner with solutions and data engineering to embed analytic logic into data pipelines and services. • Conduct bespoke, high-complexity analysis in support of customer-facing or operational needs. • Guide team best practices in Spark SQL usage, data documentation, and exploratory reproducibility.

🎯 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), including strong proficiency in Spark SQL • 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, with a strong ability to derive insight from complex operational environments • Demonstrated success building data quality, validation, or reliability frameworks, particularly for analytical workflows or model-adjacent processes • Ability to translate ambiguous analytical problems into structured, reproducible investigation plans • Excellent communication, mentorship, and cross-functional collaboration skills.

🏖️ Benefits

• 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