Responsibilities
- Design and refine core forecasting models that support data product outputs
- Lead the automation of forecasting processes to increase efficiency and support growth
- Incorporate and deploy models into current platform systems including forecasting, reporting, and data automation
- Experiment with and implement advanced methods such as machine learning, deep learning, neural networks, pretrained time series models, and generative AI
- Release models into live environments while ensuring consistent performance and reliability
- Conduct testing, validation, and ongoing monitoring of model accuracy and behavior
- Oversee code management, version control, team collaboration, and adherence to software development best practices
Benefits
- Full-time, permanent role with a hybrid work setup
- Attractive benefits package including extra company-wide break days—summer day off and year-end closure from December 24 to January 1, 2026
- Supportive culture encouraging exploration beyond core responsibilities and engagement in meaningful work
- Opportunity within a globally recognized market research and advisory organization that values initiative and measurable impact
Compensation
Competitive benefit package
Work Arrangement
Hybrid
Team
Cross-functional collaboration in a professional, global research environment
Other
- Limited travel requirement, less than 10%
- Hybrid schedule with 1-2 office days per week, adjustable based on team and project demands
- Strong English communication skills necessary for effective interaction across functions
