
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.
5 days ago

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.
• Manage and mentor a combined team of data scientists and solutions engineers, fostering technical excellence and professional growth. • Set project priorities in collaboration with product, customer success, and platform engineering teams. • Oversee analytic and engineering initiatives related to data exploration, model development, quality assurance, and customer-specific implementations. • Ensure that analyses, integrations, and workflows are robust, well-documented, and operationally maintainable. • Drive the design and adoption of reusable frameworks for analytics, model evaluation, and client-facing data solutions. • Maintain alignment with the company’s technical architecture and ensure smooth handoffs between exploratory and production environments. • Lead hiring, performance management, and career development across both data science and solutions engineering disciplines.
• 7+ years of experience in data science, data engineering, or related analytics fields, including 2+ years managing technical teams. • Strong technical grounding in Python, Spark SQL, and modern data architectures. • Experience overseeing both exploratory analytics and production-oriented engineering workflows. • Demonstrated success managing cross-functional, customer-facing, or hybrid research-delivery projects. • Proven ability to guide both scientific rigor and engineering discipline in a single organization. • Excellent communication, planning, and leadership skills for coordinating priorities across diverse stakeholders.
• Comprehensive health, dental, and vision insurance plans • Flexible remote work environment • Flexible hours • Work travel opportunities • Competitive vacation time • Parental leave
Apply Now5 days ago
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