- Collaborate with stakeholders to define and formalize analytics requirements.
- Translate business challenges into data workflows and structures.
- Apply statistics and machine learning to solve real-world problems.
- Utilize analytics tools including Python and Hadoop ecosystem.
- Model Development Deployment
- Prepare data through preprocessing, analysis, and visualization.
- Build, train, and evaluate machine learning models (supervised, unsupervised, time series).
- Conduct A/B testing to validate model impact.
- Develop production-ready code covering full model lifecycle and deployment.
- Project Delivery Documentation
- Participate in acceptance testing and ensure solution quality.
- Produce clear documentation for knowledge transfer and maintenance.
- Customer Relationship Management
- Maintain positive customer relationships and ensure satisfaction.
- Resolve issues proactively and communicate openly.
- Engage customers with domain expertise and gather feedback to prevent escalations.
- Support Sales Project Growth
- Evaluate additional work requests and justify project value.
- Assist in qualifying and assessing change requests.