Note: The job is a remote job and is open to candidates in USA. Saicon is seeking a Staff Data Engineer and Scientist to join their Customer Analytics team, focusing on enhancing business operations through data infrastructure and analytical solutions. The role combines data engineering and applied AI/ML, requiring a strategic partner who can develop insights, build datasets, and manage ML/AI model deployment.
Responsibilities
- Design and implement scalable data architectures and datasets that support the organization's evolving data needs, providing the technical foundations for our analytics team and business users
- Support and implement large datasets in batch/real-time analytical solutions leveraging data transformation technologies
- Enable robust data-level security features and build scalable solutions to support dynamic cloud environments, including financial considerations
- Perform code reviews with peers and make recommendations on how to improve our end-to-end development processes
- Own the end-to-end lifecycle of machine learning projects
- Build and productionize sophisticated models for critical business areas such as marketing attribution, customer churn prediction, case escalation and other relevant use-cases to post-sales
- Play a key role in our generative AI initiatives
- Characterize, evaluate, and fine-tune AI agents to improve their accuracy, efficiency, and reliability
- Act as an internal consultant to our Go-to-Market (GTM), Global Customer Services (GCS) and Product and Finance teams
- Translate business challenges into data science use-cases, identify opportunities for AI-driven solutions, and present findings in a clear, actionable manner
- Cover the entire project workflow, working with the business to understand the problem, charting a path to solve the problem, feature engineering, model selection and training, robust evaluation, deployment, and ongoing monitoring for performance degradation
Skills
- Experience building and maintain data pipeline both for reporting, analysis and feature engineering
- Experience building and optimizing clean, well-structured analytical datasets for business and data science use cases. This includes Implementing and supporting Big Data solutions for both batch (scheduled) and real-time (streaming) analytics
- Prior experience working extensively within dynamic cloud environments, specifically Google Cloud Services (GCS) BigQuery and Vertex AI
- Prior experience developing dashboards in Tableau/Looker or similar data viz platform
- Expert-level programming skills in Python
- A solid command of SQL for complex querying and data manipulation
- Proven ability to work autonomously, navigate ambiguity, and drive projects from concept to completion
- Experience implementing and managing data-level security features to ensure data is protected and access is properly controlled
Company Overview
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