Business Data Scientist, gUP

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

Job summary

Google LLC in Ireland is seeking an Analytics Scientist to build and maintain time-series forecasts for 1:1 support volumes and staffing, leading an internal forecasting hub. You will partner with cross-functional teams to drive operational efficiency and scale analytics using Python, R, and SQL.

The role emphasizes model health, root-cause analysis, and leveraging LLM-based solutions to automate workflows. Equity and bonus target are part of the compensation package.

Qualifications

• Bachelor's degree in statistics, mathematics, data science, economics, operations research, or related field, or equivalent practical experience.
• 3 years of analytics experience solving product or business problems; coding in Python/R; SQL querying; statistical analysis.
• Experience in cross-functional program/project management or operational process execution; or leading vendor teams.
• Experience forecasting demand in operations, workforce, or capacity planning contexts; experience with metrics like SLA/AHT and Erlang C.

Responsibilities

• Develop, tune, and review time-series forecasting models (ARIMA, exponential smoothing) using R, Python, and SQL to predict support volumes and handle times.
• Manage a growing internal operations hub and take ownership of pipeline integrity and troubleshooting complex errors.
• Monitor model health and forecast accuracy; perform root-cause analyses and adjust methodologies for high fidelity.
• Collaborate with business and operations teams to gather inputs and translate them into actionable staffing decisions.
• Create and leverage agentic and LLM-based solutions to automate forecasting workflows and scale analytics pipelines.

Skills

Analytics to solve problems

Python

R

SQL

Forecasting

Cross-functional collaboration

Vendor management

LLM-based solutions

Education

Bachelor's degree in Statistics/Mathematics/Data Science/Economics/OR related field

Master's degree in Statistics/Mathematics/Data Science/Economics/OR related field

Tools

ARIMA

Exponential smoothing

Job description

corporate_fare Google place Dublin, Ireland

• Bachelor's degree in Statistics, Mathematics, Data Science, Economics, Operations Research, a 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).

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Economics, Operations Research, a related quantitative field, or equivalent practical experience.
• Experience with advanced time-series forecasting methods (e.g., ARIMA, exponential smoothing) applied to complex operational datasets
• Experience managing vendor teams, operations hubs, or leading distributed operational workflows.
• Experience building or leveraging agentic and Large Language Model (LLM)-based solutions to automate and scale analytical workflows.

About the job

The gTech Users and Products (gUP) Analytics Science and Forecasting team serves as the strategic advisory engine for gUP executive leadership and Operations. By applying solutions, we answer the most critical questions from our leaders, uncovering productivity levers required to optimize operations, drive operational agility, and scale gUP.

Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video .

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

The gTech Users and Products (gUP) Analytics Science and Forecasting team serves as the strategic advisory engine for gUP executive leadership and Operations. By applying solutions, we answer the most critical questions from our leaders, uncovering productivity levers required to optimize operations, drive operational agility, and scale gUP.

Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video .

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Ireland: €90000 - €92000 (EUR) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.