Remote Data Jobs · Python

Shape and evolve a modern, cloud-based data platform. Design and implement domain-oriented data products, optimize ETL/ELT pipelines. Build a robust data lake and support near real-time reporting and analytics.

Shape and evolve a modern, cloud-based data platform. Design and implement domain-oriented data products, optimize ETL/ELT pipelines. Build a robust data lake and support near real-time reporting and analytics.

Lead the assessment of new data sources, including coverage, quality, compliance, and commercial potential. Build and deploy statistical, predictive, and machine learning models to extract relevant insights from data. Lead client-facing meetings to present analytical findings, demonstrate product capabilities, and guide solution adoption.

Design, build, and maintain scalable batch and real-time data pipelines that power analytics, experimentation, and machine learning. Partner cross-functionally with analytics, product, engineering and operations to deliver high-quality data solutions that drive measurable business impact. Develop and maintain curated, well-modeled datasets that serve as trusted sources of truth across the organization.

Deliver recommendations and actionable insights to stakeholders to help drive revenue. Optimize GTM motions using technical and business intuition, ensuring data-driven approaches drive efficiency and revenue growth. Solve complex problems through novel data solutions and analytics, and support the development of predictive models.

• Build and enhance cloud-based data tools and reporting systems.
• Develop robust, scalable data pipelines.
• Leverage emerging AI tools to accelerate development.

Design, implement, and maintain robust data pipelines and transformation workflows. Work with cloud data warehouses, orchestration tools, and modern ETL frameworks. Collaborate with cross-functional stakeholders to standardize best practices.

Focus on translating business needs into analytics and interpretation of analytics into business applications. Innovate and build solutions for FM using new technologies. Develop and apply statistics, artificial intelligence, machine learning, and deep learning to various business problems in loss prevention.

• Design and develop machine learning infrastructure, tooling, and models.
• Build scalable, resilient services to support data integration and event processing.
• Coach and collaborate with team members, sharing expertise and encouraging best practices.

Deliver recommendations and actionable insights to stakeholders to help drive revenue. Optimize GTM motions using technical and business intuition, ensuring data-driven approaches drive efficiency and revenue growth. Solve complex problems through novel data solutions and analytics, and support the development of predictive models.