Analyze sensor and telematics data from IoT devices to improve hardware performance and reliability.
Design dashboards and reports using tools like QuickSight, Tableau, or Python to visualize metrics and findings.
Collaborate with engineering, product, data science, and customer support teams to drive continuous improvement.
Aperia develops innovative hardware and analytics solutions for commercial vehicle fleets, including the Halo Tire Inflator and Halo Connect platform. The company focuses on efficiency, sustainability, and data-driven innovation.
Develop and commercialize advanced machine learning models for Women's Health features, focusing on time-series analysis and robust validation.
Lead complex projects and collaborate with cross-functional teams including scientists, product managers, and engineers.
Design rigorous statistical analyses for model performance and conduct exploratory research to translate ideas into scalable products.
Oura is a health technology company that creates the Oura Ring and connected app to help people gain deeper knowledge of their readiness, activity, and sleep quality. It is a quickly growing company focused on improving employee health and empowering its team to live healthier lives.
Ensure data accuracy, consistency, and reliability while adhering to healthcare privacy standards.
Develop data solutions including SQL queries, dashboards, and AI/ML model fine-tuning.
Perform testing, audits, and deployment support to deliver high-quality data products.
Quantum Health is a healthcare navigation organization founded in 1999, on a mission to make healthcare simpler and more effective for millions of members. With a tech-savvy team of more than 2,000, committed to diversity and inclusion.
Lead development of advanced data science solutions for complex healthcare datasets, including EHRs and claims.
Collaborate with engineering teams to turn prototypes into production-ready data products for biopharma clients.
Present analytical findings and strategic recommendations to technical teams and executive stakeholders.
Specialty Networks Solutions is a company that transforms complex healthcare data into actionable insights for biopharmaceutical partners. They work in a collaborative, multidisciplinary environment with a focus on real-world data products and innovative healthcare analytics.
Build machine learning models to personalize the product and connect users with suitable insurance policies.
Collaborate with cross-functional stakeholders, write production code, and perform peer reviews.
Analyze product data, design experiments, and explore causal measurement and ML platform improvements.
The Zebra provides online tools and licensed agents to simplify car and home insurance shopping. The company has helped customers compare over 74 million quotes since 2012 and was named an Austin Business Journal's 2026 Best Place to Work, with a culture that values diversity and inclusion.
Communicate with business stakeholders to understand goals and frame ambiguous questions into well-posed modeling problems.
Build and deploy production-ready models, monitoring outputs and drift.
Translate model behavior and outputs into actionable guidance for technical and non-technical audiences.
Imagine Pediatrics is a tech-enabled, pediatrician-led medical group reimagining care for children with special health care needs. We deliver 24/7 virtual-first and in-home care alongside families, providers, and health plans.
Conduct in-depth analysis to uncover opportunities for improving our products.
Build advanced models and analytics tools to boost product insights and recommendations.
Analyze A/B tests to drive user conversion and engagement.
BOLD is an established global organization that creates digital products to help people build stronger resumes, cover letters, and CVs, empowering millions in 180 countries. They value diversity and inclusion, and their employees are experts, learners, contributors, and creatives.
Own the enforcement lifecycle for defined abuse areas, from problem framing and signal discovery to model development, rollout, and monitoring.
Analyze large-scale behavioral, content, account, and network data to identify adversarial patterns and emerging threats.
Build and evaluate decision systems using statistical, ML, or GenAI methods, and partner with engineering to productionize them.
Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information.
Perform structured data analyses under senior guidance to extract actionable insights and solve key customer problems.
Assist in identifying customer problem sets, scoping solution requirements, and translating analytical workflows into reusable components.
Collaborate cross-functionally with stakeholders to execute data strategies and support process improvements.
Shift5 builds the data platform for onboard operational technology, delivering cybersecurity, predictive maintenance, and compliance for defense and commercial fleets. This fast-growing startup is committed to building an inclusive culture and seeks mission-aligned team members.
Analyze data from multiple sources to identify and correct errors, ensuring accuracy, completeness, and reliability.
Develop and implement data quality processes, policies, and standards while using SQL, Python, and Excel.
Collaborate with teams in a SAFe Agile environment to deliver automated reporting and dashboard solutions.
Sparksoft is a technology company providing IT solutions and services to government clients, including the Centers for Medicare & Medicaid Services. The company emphasizes innovation and collaboration, with a culture recognized as a Great Place to Work.
Design and build reliable data pipelines that process large volumes of customer warehouse data
Build and run machine learning operations infrastructure from training to production
Own data quality and data modeling to ensure accurate and trustworthy data
Keebo automatically optimizes cloud data warehouses for Snowflake and Databricks to control compute costs without hurting query performance. The company is venture-backed, built on years of database and ML research, and operates fully remotely.