Design, build, and maintain scalable analytics solutions that transform raw data into actionable insights, supporting strategic and operational decision-making.
Responsibilities
Assist in collecting, cleaning, transforming, and validating data from multiple sources
Perform exploratory data analysis (EDA) to identify trends, anomalies, and business insights
Develop and evaluate machine learning models for supervised and unsupervised learning tasks
Prepare datasets for statistical analysis and predictive modelling
Designing and maintaining semantic data models (star/snowflake schemas) optimized for analytics and reporting
Requirements
Bachelor’s degree in Computer Engineering or related fields
Master’s degree in Computer Engineering or related fields
Design, build, and ship products and services that shape how pharma commercial teams engage with healthcare providers, working across the stack with product, design, and ML engineering.
Compensation
Final compensation is determined through a comprehensive review of the successful candidate’s unique skill set, specialized experience, certifications and other relevant considerations. As such, the final offer may vary based on these specific factors. Salary expectations will be discussed collaboratively early in the process to ensure alignment.
Responsibilities
Own significant product capabilities end-to-end, from ambiguous problem framing through design, implementation, deployment, and iteration with minimal oversight
Build accessible, data-rich user experiences with React and TypeScript
Build and maintain real-time computation services (AWS Lambda)
Design and maintain reliable, scalable APIs and backend services
Lead technical design, code review, and architectural discussions
Full-stack Software Engineer in Japan to build and ship product features for Unravel Carbon’s decarbonization platform.
Responsibilities
Build and ship the product
Design, build and ship production features across the platform, including our carbon calculation engine, data ingestion pipelines and AI-powered workflows
Take ownership of complex problems end to end, from scoping and technical design through to delivery and iteration
Develop integrations with customers' accounting and ERP systems
Support global users and local requirements
Requirements
Bachelor's degree in Computer Science, Engineering, IT, or equivalent practical experience
Nice to have: Experience building data-intensive products
Nice to have: Experience building with LLMs or agentic workflows
Nice to have: Integrations with accounting or ERP systems
Own significant product capabilities end-to-end, from ambiguous problem framing through design, implementation, deployment, and iteration with minimal oversight
Locations (4)
Vancouver, British Columbia, Canada
Toronto, Ontario, Canada
Canada
United States
Responsibilities
Own significant product capabilities end-to-end, from ambiguous problem framing through design, implementation, deployment, and iteration with minimal oversight
Build accessible, data-rich user experiences with React and TypeScript that make complex commercial and healthcare insights clear and actionable
Senior Engineer in the Satellite Connectivity Group SRE team responsible for building, monitoring, and maintaining large‑scale, highly resilient satellite communication services.
Locations (2)
Austin, Texas, United States
San Diego, California, United States
Responsibilities
Build and operate distributed systems and cloud infrastructure for satellite connectivity
Design architecture and implement multi‑clustered services
Develop and maintain observability, monitoring, and alerting platforms
Create and manage CI/CD pipelines and GitOps workflows
Provision and manage infrastructure as code with Pulumi or Terraform
Build and maintain real-time computation services (AWS Lambda) that serve scores and calculations on-demand to the customer-facing app, with an eye toward latency, reliability, and cost at scale
Design and maintain reliable, scalable APIs and backend services connecting ODAIA’s data, ML, analytics, and agentic capabilities to customer-facing products
Work across our stack: AWS, Kubernetes, Snowflake, PostgreSQL, and embedded analytical engines like DuckDB and DataFusion
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