Lead and mentor a team of quantitative professionals while personally executing rigorous validations of machine learning models for underwriting and credit risk.
Evaluate conceptual soundness, data integrity, and performance stability through comprehensive testing, in-depth reviews, and continuous monitoring.
Collaborate with cross-functional stakeholders to enhance the enterprise-wide Model Risk Management framework and ensure compliance with internal and regulatory standards.
Affirm is a financial technology company that provides buy now, pay later services without hidden fees or compounding interest. It is a publicly traded, remote-first company with a large workforce and a culture focused on innovation, risk management, and putting people first.
Design and build robust data pipelines and warehouse models using Snowflake and modern data engineering tools.
Migrate legacy SQL Server systems and ETL processes to a scalable cloud environment.
Ensure data security, reliability, and compliance for sensitive healthcare data.
This company is a partner organization focused on modernizing healthcare data infrastructure and analytics. It provides a collaborative, fully remote environment with significant individual ownership and a focus on scaling modern data technologies.
Develop and implement data analysis techniques and ML models using customer data.
Create scalable data pipelines for feature extraction on cloud services.
Collaborate with engineering teams to productionize work and automate processes.
RRD is a leading global provider of marketing, packaging, print, and supply chain solutions. With 32,000 employees across 28 countries, the company values innovation, authenticity, and integrity.
Lead the technical vision, architectural strategy, and data modeling frameworks for Privia's enterprise data platform.
Design and govern Privia's multi-layered data architecture on Snowflake using Medallion Architecture principles and healthcare data integration.
Provide technical leadership, mentorship, and cross-functional collaboration to ensure scalable, secure, and performant data solutions.
Privia Health is a technology-driven, national physician enablement company that collaborates with medical groups, health plans, and health systems to optimize physician practices and improve patient experiences. The company is led by top industry talent and exceptional physician leadership, with a focus on scalable operations and end-to-end, cloud-based technology.
Own the full model lifecycle from requirements and feature engineering through deployment and monitoring, partnering with ML engineers.
Translate complex fraud patterns into well-framed ML solutions, defining what to model and where ML adds value.
Design feature engineering pipelines, monitor model quality in production, and collaborate across teams to drive fraud strategies.
Extend revolutionizes the post-purchase experience for retailers by providing AI-driven solutions that enhance customer satisfaction and drive revenue growth. Backed by prominent technology investors and headquartered in San Francisco, Extend works with over 1,000 leading merchant partners across industries, fostering a collaborative and supportive culture.
Build monitoring infrastructure for production ML and GenAI models.
Define and track model health metrics including accuracy, drift, and output quality.
Partner with data scientists and ML engineers to integrate monitoring into deployment lifecycle.
Liberty Mutual is a global insurance company that provides property and casualty insurance. The company values inclusion, professional development, and employee well-being, offering comprehensive benefits and workplace flexibility.
Analyze real-world AI interactions to identify opportunities for improving response quality, accuracy, and user experience.
Design and optimize prompt engineering strategies, RAG pipelines, and AI evaluation frameworks.
Collaborate with AI Engineers to deploy validated improvements into production systems.
The company specializes in developing and improving AI-powered products. They maintain a remote-first, international team with a focus on innovation and collaboration.
Design, build, and maintain scalable event-streaming pipelines that ingest data from client systems and third-party sources.
Develop and operate analytical databases and data models optimized for high-volume event workloads and low-latency access.
Build production-grade services in Elixir and/or Python for event processing, transformation, and integration.
This company is building data infrastructure for high-volume client and internal event data. They are establishing a new data engineering team and offer a remote work environment with significant technical ownership.
Apply deep expertise in microbiome biology and metagenomics analysis to define how AI agents reason through complex datasets.
Build ground-truth benchmark datasets from published microbiome studies to rigorously test AI agent capability.
Work with software engineers and computational biologists to identify confounders and technical artifacts in computational microbiology.
Latch builds intelligent, high-performance agents for biological data analysis, empowering over 5,000 scientists across 150+ R&D labs. They have a waterfront office near Oracle Park and offer perks like 2x free daily meals, unlimited snacks, and a vibrant community with various clubs.
Extract, clean, and transform data from Amazon Marketing Cloud and Amazon Advertising for client campaigns.
Develop dashboards and reports to visualize key trends and deliver actionable insights to clients.
Collaborate with teams to design A/B tests and provide data-driven recommendations for optimizing ad performance.
Tinuiti is the largest independent full-funnel marketing agency in the U.S., managing $4 billion in digital media with over 1,200 employees. The company combines media and measurement to eliminate waste and scale what works, supported by proprietary technology Bliss Point.