Design the technical vision for Lime's Corporate Data Warehouse, building a Finance-grade semantic layer.
Own Finance data modeling across NetSuite and sub-ledgers, ensuring consistent definitions for revenue, COGS, and close KPIs.
Define and enforce dbt, SQL, CI/CD, documentation, and automated testing standards for audit-grade governance.
Lime is the world's largest shared micromobility company, making transportation shared, affordable, and carbon-free. A Time Magazine 100 Most Influential Company, it has powered one billion rides in nearly 30 countries with an impact-driven culture.
Design scalable dbt data models and build intuitive Looker dashboards to guide business decisions.
Partner cross-functionally with Finance, Product, and Go-to-Market teams to transform data into insights.
Establish dbt and Looker best practices and support analytics initiatives across the company.
Aurora builds software that helps solar professionals design, sell, and install residential and commercial solar arrays. The company is a recognized remote-friendly, certified Green Business with a mission-driven culture.
Drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, and classifier implementation.
Own projects end-to-end across search, AI, instant answers, and revenue optimization.
Build monitoring pipelines, evaluation datasets, and trigger systems that balance quality and privacy.
DuckDuckGo is an online protection company raising the standard of trust online through private search, browser, and AI products. Founded in 2008 and profitable since 2014, the remote-first team of 300+ emphasizes trust, inclusivity, and empowered project management.
Develop and execute end-to-end data migration strategies for Radiology Information Systems.
Collaborate with technical, clinical, and compliance stakeholders to ensure accurate and secure data transfers.
Perform data validation, post-migration support, and enhance migration tools using programming and scripting.
This company focuses on healthcare technology and secure data migration solutions. They operate with a remote-first approach, emphasizing accuracy, security, and collaboration.
Collaborate with Data Science teams to deploy and maintain machine learning models in production environments.
Build robust data processing pipelines and implement MLOps and LLMOps best practices for scalable AI solutions.
Work with cloud technologies, big data platforms, and machine learning frameworks to deliver innovative technical solutions.
The company specializes in data and technology services, helping transform machine learning solutions into production-ready systems. It is an established international organization with a collaborative, inclusive culture and a strong emphasis on continuous learning and career growth.
Develop cloud-native data products and scalable ETL pipelines using AWS services.
Implement Infrastructure as Code, CI/CD pipelines, and observability for reliable deployments.
Apply Data Mesh principles and data governance across cross-functional data teams.
They build secure, scalable AWS infrastructure and data solutions for federal environments. The team works in a SAFe Agile environment with a focus on data governance, automation, and collaboration.
Lead hands-on data science to turn revenue opportunities into production ML systems.
Apply causal inference, experimentation, and advanced analytics to guide product decisions.
Mentor data scientists and set technical best practices in a collaborative, remote-first environment.
This company builds consumer technology products serving over 100 million monthly active users, focusing on revenue growth through personalization, experimentation, and subscriptions. It operates with a remote-first, AI-native culture that values direct communication, integrity, and high-impact execution.
Own the design and delivery of data engineering and clinical NLP pipelines that transform structured and unstructured EMR data into standardized clinical data.
Develop hybrid approaches using rules, dictionaries, deep learning, and LLMs for clinical entity extraction, normalization, and context interpretation.
Partner with clinicians to define schemas, validate OMOP CDM mappings, and ensure production reliability for transplant-focused data.
CareDx is a precision medicine diagnostics company advancing care in transplant, specialty oncology, and cell therapy through molecular diagnostics, digital health solutions, and AI-powered analytics. The company fosters a collaborative culture where every employee contributes to innovations that transform patient care.
Lead the design and implementation of scalable, production-grade Machine Learning systems in cloud environments.
Architect end-to-end ML solutions from data ingestion to deployment and monitoring, managing containerized workloads with Docker and Kubernetes.
Oversee large-scale data pipelines, drive model improvement, and provide technical leadership across ML initiatives.
Coforge is a global IT services company that delivers digital transformation and technology solutions. It focuses on hiring based on skills and qualifications, promoting an inclusive work culture.
Build and deploy models and digital tools that support drug substance, drug product, packaging, and labeling processes.
Partner with technical teams and CDMOs to turn process data into predictive models and analytics for phase-appropriate decisions.
Develop reusable data products and dashboards in Databricks, applying AI/ML to accelerate CMC data review.
Praxis Precision Medicines is a clinical-stage biopharmaceutical company translating genetic insights into therapies for central nervous system disorders. It fosters a culture of trust, ownership, curiosity, and results while developing high-impact medicines.