Design, build, and launch high-quality big data solutions on cloud platforms like AWS.
Solve complex data integration problems using ETL patterns, frameworks, and query techniques.
Collaborate with data analysts and scientists to drive profitable growth through data insights.
Mercury Insurance provides auto, home, and business insurance, helping people manage risk for over 60 years. A Forbes-recognized Best Midsize Employer, it values an inclusive, collaborative culture where team members grow and succeed.
Lead data analyses from question framing through cleaning, analysis, and written summaries.
Build dashboards and visualizations using Tableau and BI tools to drive decisions.
Improve data pipelines, validation, and reproducible code in GitHub with cross-functional teams.
The Center for Education Market Dynamics (CEMD) is a nonprofit that improves K-12 academic outcomes by providing data and insights on curriculum selection. They are a collaborative remote team that values curiosity, action, and impact.
Build LLM-powered agents and production ML systems to automate security analysis.
Collaborate with threat-research and data engineering to turn risk identification into scalable solutions.
Own deployment, monitoring, and quality of solutions in CI/CD frameworks.
Zscaler accelerates digital transformation with its Zero Trust Exchange platform, protecting customers from cyberattacks and data loss. The company is the world's largest in-line cloud security platform, distributed across 160+ exchanges, with an AI-native culture focused on ownership, collaboration, and trust.
Design and build production-grade Python scrapers and scalable ingestion pipelines for web-data acquisition.
Own the full engineering lifecycle from investigation to deployment and production support.
Work independently while collaborating with a distributed team through code reviews and structured workflows.
The company specializes in data engineering and web-data acquisition for research and data products. It embraces a remote-first culture with a distributed, collaborative engineering team.
Deliver novel and impactful insights for client organizations using machine learning and AI technologies.
Work closely with Product, Platform Data, Insights & Strategy, and Sales teams to create client-facing analyses.
Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals.
Doximity is the leading clinical AI company with the largest network of U.S. clinicians, trusted by over 85% of physicians and 300+ health systems. The company values curiosity, ownership, inclusion, and making a meaningful impact in healthcare.
Assist in development, evaluation, testing, and transition of JEDI-based developments for atmospheric data assimilation.
Transition observation modeling, quality control, and bias correction to the JEDI infrastructure.
Support and develop atmospheric model interfaces within the JEDI framework.
Lynker is an employee-owned professional services firm specializing in scientific and technical services for government clients. The company fosters a collaborative, team-oriented culture with a focus on putting the right people in the right place to solve complex challenges.
Define and build the data science strategy for a new pet health data business unit.
Analyze complex multi-source datasets to build predictive models and commercial insights.
Partner with cross-functional teams to develop monetizable data products and ensure data integrity.
Destination Pet is a national network of pet-obsessed professionals dedicated to elevating the love and lives of pet families through total pet care. They are launching a new PE-backed business unit to build a data platform for the pet health ecosystem, backed by an established platform with startup agility.
Handle a wide range of analytic needs across internal teams and external clients, from quick questions to ongoing engagements.
Work with healthcare data, including claims and clinical sources, to build reliable, well-documented datasets and analyses.
Support value-based care initiatives by analyzing quality measures, risk adjustment, and cost-of-care trends.
Guidehealth is a data-powered healthcare company leveraging AI and predictive analytics to make healthcare affordable and improve patient outcomes. It is a growing, physician-led organization with a collaborative, mission-driven culture that values agility and continuous learning.
Own fraud performance for depository products, monitoring losses, approval rates, false positives, and customer friction.
Build scalable data models, dashboards, and metrics to provide visibility into fraud risk and portfolio health.
Develop fraud strategies and partner with Product, Engineering, ML, and Operations to improve detection.
Affirm is a financial technology company offering consumers a clear, predictable way to pay over time with no hidden fees. We are a remote-first company with a culture focused on care, transparency, and flexibility.
Transform billions of daily events into reliable, scalable data products.
Design pipelines, models, dashboards, and analytics tools to enable data-driven decisions.
Collaborate with analysts, engineers, and product managers to translate business needs into high-quality data solutions.
This company operates at the forefront of large-scale ecommerce, search, personalization, and AI, processing billions of events daily. It is a fully distributed international team with a collaborative culture, offering autonomy and continuous improvement.