Own and evolve the product metrics tree, ensuring consistent definitions and alignment with the north-star metric.
Design and analyze A/B tests from experiment setup through statistical validation and actionable recommendations.
Partner with product and functional leads to investigate anomalies, identify growth opportunities, and translate data into strategic insights.
The partner company leverages data to drive product growth and decisions. It maintains a collaborative, remote-first culture with a focus on metrics and experimentation.
Research, develop, and maintain production-quality machine learning code for materials science problems.
Collaborate with product, engineering, and research teams to transform AI ideas into scalable, customer-ready capabilities.
Evaluate and improve model performance, reliability, and interpretability across the full feature lifecycle.
The company develops materials-aware AI capabilities for scientific and industrial applications. They value autonomy, collaboration, and continuous learning in a remote environment.
Gather business requirements and apply trend analysis to identify actionable insights using analytic tools and healthcare claims data.
Develop, fine-tune, and implement large language models (LLMs) and deep learning models for anomaly detection and automated analysis.
Build visualizations and dashboards in Tableau to communicate findings and support business workflows.
Cohere Health is a healthcare technology company that uses data science to improve clinical outcomes and reduce costs. The company operates remotely with a focus on innovation and collaboration, employing a team of data scientists and engineers dedicated to transforming healthcare data into actionable insights.
Lead AI-driven workflow automation to reduce manual fraud operations effort.
Deliver investigative insights and proactive detection through data analysis.
Build operational dashboards to track KPIs and replace manual reporting.
Koalafi provides flexible lease-to-own financing for non-prime consumers through retailers. With over 200 teammates, they foster a culture of innovation, trust, and ownership.
Own policy optimization for member credit limits, balancing retention, churn, and risk exposure.
Design, run, and evaluate policy experiments and A/B tests, translating results into concrete policy changes.
Own forecasting and reporting infrastructure that keeps risk and portfolio performance visible to stakeholders.
EarnIn builds products that deliver real-time financial flexibility for people living paycheck to paycheck, pioneering earned wage access. It has a fast-growing, diverse culture with an experienced leadership team and backing from top investors like A16Z.
Architect and build scalable data pipelines for batch, event-driven, and streaming data movement across hybrid environments.
Own the Snowflake data platform, develop dbt pipelines, and build semantic layers for AI-ready self-service data.
Lead, mentor, and coach a small data engineering team plus decentralized analysts to raise standards.
Nimble Gravity helps leading financial institutions and other clients adopt AI in meaningful ways. The company has a collaborative, coaching culture and is an Equal Opportunity Employer that values teaching and helping people embrace new ways of working.
Identify and pitch high-value opportunities where data, analytics, or automation can improve business outcomes.
Own projects end-to-end, from problem definition through implementation, adoption, and impact measurement.
Build scalable, production-quality data models in dbt and design reusable data foundations for BI, ML, and AI use cases.
Fleetio is a modern software platform that helps thousands of organizations worldwide manage their fleet operations. The company raised $450M in Series D funding in 2025 and fosters a remote-friendly culture.
Combine insurance domain expertise with full-stack data and analytics engineering.
Design rigorous data models, pipelines, and semantic layers for AI reliability.
Use SQL, Python, dbt, and Snowflake to build and maintain data infrastructure.
Nimble Gravity helps leading financial institutions and other clients adopt AI in meaningful ways. The company values teaching, facilitating, and influencing to help people embrace new ways of working.
Develop machine learning algorithms for device identification using noisy, unlabeled data.
Design supervised, semi-supervised, and unsupervised ML approaches.
Own projects from research through deployment to real-time services.
This partner company develops a high-volume, real-time identification platform for browsers and devices. It prioritizes engineering excellence and data-driven decisions, with a globally distributed team of specialists.
Translate business problems into analytical work using AI and data science.
Explore data, build AI-driven solutions, and evaluate their performance.
Collaborate with engineers and consultants to deliver client solutions.
Toboggan Labs is a boutique consultancy building at the intersection of AI and healthcare. They are a small, remote-first team that values diversity and growth potential.