
11 - 50 employees
Founded 2018
đŒ Consulting
đ„ Healthcare
đŠ Logistics
Consulting âą Healthcare âą Logistics
ODAIA is an AI-driven platform that enhances sales efficiency in the pharmaceutical industry by providing predictive analytics and personalized insights for healthcare professionals (HCPs). It processes sales data to deliver optimized call lists and prioritize targets for sales representatives, enabling effective engagement strategies across different territories. ODAIA helps companies improve patient outcomes and commercial success by leveraging customer science and data-driven decision-making.
đ„ 3 minutes ago
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11 - 50 employees
Founded 2018
đŒ Consulting
đ„ Healthcare
đŠ Logistics
Consulting âą Healthcare âą Logistics
ODAIA is an AI-driven platform that enhances sales efficiency in the pharmaceutical industry by providing predictive analytics and personalized insights for healthcare professionals (HCPs). It processes sales data to deliver optimized call lists and prioritize targets for sales representatives, enabling effective engagement strategies across different territories. ODAIA helps companies improve patient outcomes and commercial success by leveraging customer science and data-driven decision-making.
âą Build scalable data infrastructure supporting customer onboarding and implementation âą Design and ship Claude-powered tools to automate production incident error triage and fix proposals âą Develop automation tools for configuring and ingesting new customer datasets âą Define, prototype, and implement end-to-end data solutions for complex data challenges âą Advise internal teams and customers on data integration, architecture, and management best practices âą Implement scalable ingestion pipelines using AWS tools and services âą Develop integrations with Veeva, Salesforce, and other third-party data sources âą Contribute to proof-of-concept builds and internal applications âą Design APIs and data models for internal data access and cross-system interoperability âą Explore and onboard new data sources âą Design warehouse schemas to improve analytics and product capabilities âą Collaborate with product and engineering teams to align data systems with strategic objectives
âą 3+ years of experience in data engineering and production-grade data pipelines âą Strong experience with AWS, including ECS, S3, Lambda, DynamoDB, and API Gateway âą Experience with Snowflake âą Experience with Dagster or Airflow for orchestration and workflow management âą Strong programming proficiency in Python âą Experience building and optimizing complex data models with dbt âą Strong understanding of ETL processes âą Solid understanding of data structures, algorithms, and database design âą Expertise in performant SQL schema and query development âą Familiarity with CI/CD and test-driven development in a production environment âą Experience integrating CRM systems such as Veeva and Salesforce âą Experience handling healthcare, pharmaceutical, or pharmacy-related datasets is a strong asset âą Demonstrated experience with the AWS stack or an equivalent cloud platform âą Background modernizing data environments and migrating legacy systems to cloud-native architectures âą Ability to manage projects independently, prioritize effectively, and adapt to changing business needs âą Excellent communication skills for translating complex technical concepts to technical and non-technical stakeholders
âą Meaningful stock option grants âą Immediate medical/dental enrollment âą Flexible time off âą Work-from-home flexibility âą Intentional, high-value in-person collaboration and socials âą Career development opportunities âą Values-based culture âą AI-native environment using AI and agentic automation
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đ° Private Equity Round on 2019-01
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