Business Data Scientist, gUP

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GoogleDublin, Ireland

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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XIn most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

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.

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

Learn more about benefits at Google.

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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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.

Forward Deployed Engineer, Google Cloud, GenAI

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GoogleDublin, Ireland

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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XIn most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
8 years of experience with software development using Python or similar coding languages.
Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., GCP).
Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
Experience leading technical discovery sessions.

Preferred qualifications:

Master’s degree or PhD in AI, Computer Science, or a related technical field.
Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

About the job

As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded practitioner who bridges the gap between frontier intelligence offerings and enterprise-ready reality within clients. Unlike traditional advisory roles, you will function as an innovator, moving beyond high-level architecture to write software, debug, and jointly ship bespoke agentic workflows directly inside the client's environment. You will address release blockers including solving integration hurdles, data readiness issues, and state-management issues that prevent advanced models from reaching commercial maturity. By embedding with accounts, you will serve a dual purpose: providing white-glove rollout of intricate systems and acting as a critical feedback loop, transforming frontline insights into the platform's future strategy.

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Ireland: €150000 - €153000 (EUR) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI.
Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Business Data Scientist, gUP

Mid

Minimum qualifications:

Preferred qualifications:

About the job

Responsibilities

Requirements

Nice to haves

What you'll be doing

Perks and benefits

Forward Deployed Engineer, Google Cloud, GenAI

Advanced

Minimum qualifications:

Preferred qualifications:

About the job

Responsibilities

Requirements:

Nice to Haves:

What You'll Be Doing:

Perks and Benefits:

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