Forecasting Data Scientist — Operations & Analytics

Google Inc.; Dublin; On-site; EUR 90,000 - 92,000; Full time

Benefits offered by this job

Equity

Bonus target

Job summary

Google is seeking a Share Business Data Scientist for the gUP team in Ireland (Dublin) to drive forecasting and operational analytics. You will build time-series models, manage forecasting workflows, and collaborate with cross-functional teams to influence staffing and capacity decisions.

The role emphasizes building scalable analytics with R, Python, and SQL, and leveraging LLM-based solutions to enhance operations. Equity and a 15% bonus target are part of the compensation package.

Qualifications

• Bachelor's degree in statistics, mathematics, data science, economics, operations research, or related quantitative field, or equivalent practical experience.
• 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R), querying databases (e.g., SQL), or statistical analysis.
• Experience in cross-functional program management, project management, or operational process execution; or managing vendor teams, operations hubs, or leading distributed operational workflows.
• Experience with forecasting demand or volume in an operations, contact center, workforce management, or supply chain context, or with support operations metrics (e.g., SLA, AHT, Shrinkage) and capacity planning and staffing methodologies (e.g., Erlang C).

Responsibilities

• Develop, tune, and review time-series forecasting models (e.g., ARIMA, Fargo) using R, Python, and SQL to accurately predict 1:1 support volumes and handle times.
• Manage a growing internal operations hub handling daily forecasting execution. Take technical ownership of pipeline integrity by troubleshooting complex errors, validating system configurations, and resolving reporting issues when the standard workflows require advanced triage.
• Monitor model health and forecast accuracy. Conduct root-cause analysis on variance and implement methodology adjustments to ensure high-fidelity predictions at scale.
• Partner across various business and operational teams to gather forecasting inputs and deliver actionable outputs used for critical staffing and capacity decisions.
• Create and leverage agentic and LLM-based solutions to automate and enhance support operations and forecasting pipelines.

Job description

Google is seeking a Share Business Data Scientist for the gUP team in Ireland (Dublin) to drive forecasting and operational analytics. You will build time-series models, manage forecasting workflows, and collaborate with cross-functional teams to influence staffing and capacity decisions.

The role emphasizes building scalable analytics with R, Python, and SQL, and leveraging LLM-based solutions to enhance operations. Equity and a 15% bonus target are part of the compensation package.