Business Data Scientist, Global Business Strategy and Operations

Google; New York (NY); Sur place; USD 138 000 - 197 000; Plein temps

Résumé du poste

Google is seeking a Business Data Scientist to join the Global Business Strategy and Operations team in Mountain View, NY, or other U.S. locations. You will own data collection, analysis, and the development of data-driven recommendations for senior leadership, influencing strategy and execution across ads business.

The role requires advancing causal inference, predictive modeling, and building scalable data pipelines and BI infrastructure, with strong storytelling to executives.

Qualifications

• Master's degree in quantitative discipline; 3 years of analytics experience or PhD.
• Strong proficiency in SQL, Python, R; data querying and statistical analysis.

Responsabilités

• Lead analytics, data infrastructure, and measurement methodology for seller incentives.
• Partner with Strategy, Operations, and Finance to translate business problems into data-driven strategies.
• Own the full data science life-cycle with causal inference and predictive modeling expertise.
• Build scalable data pipelines, BI infrastructure, and dashboards from scratch using SQL, R, Python.
• Translate findings into compelling narratives that influence executives and cross-functional teams.

Connaissances

Analytical thinking

Data storytelling

Stakeholder management

Mentoring

Formation

Master's degree in quantitative discipline

Outils

SQL

Python

R

Description du poste

Business Data Scientist, Global Business Strategy and Operations

Google • Mountain View, CA, USA; New York, NY, USA; +2 more; +1 more

Mid

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

In most instances, this position requires in-person interviews as part of the hiring process. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA.

Minimum qualifications:

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.

Preferred qualifications:

• 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
• Experience in designing and implementing causal inference methods.
• Experience building and maintaining BI infrastructure, dashboards, and data pipelines.
• Proficiency in database querying (SQL).
• Excellent communication, presentation, and stakeholder management skills, with the ability to explain concepts to audiences.

About the job

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.

Global Business Strategy and Operations (GBS&O) is part of the Go-to-Market organization making sure Google's business pursues the best strategy and executes flawlessly. GBS&O architects the future of Google’s global ads business, consisting of highly pragmatic and results-oriented investigative and experts in business operations. The Data, Insights, and Analytics (DIA) team partners with GBS&O team members to drive the best decisions possible with data. We build creative ML and Data Science solutions to drive strategy and business impact. We help our organization make decisions to ensure the Ads Business continues to thrive.

In this role, you will help GBS&O partners make decisions using data owning the full data science life-cycle for high-impact, ambiguous business problems, from initial analysis to strategic recommendation.

You will drive alignment and simplicity to manage a range of high-impact projects (e.g., causal inference, predictive modeling) initially focusing on projects, including seller incentives design and impact analysis, working closely with Strategy and Finance partners. You will own the technical infrastructure and investigative roadmap for systems and methodologies that measure effectiveness of our incentives programs to drive the executive-level roadmap requiring flexibility to pivot based on evolving business needs.

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

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

benefits at Google.

Responsibilities

• Lead the analytics, data infrastructure, and measurement methodology of seller incentives, designing data pipelines and tooling to executing advanced statistical analysis and generating insights.
• Partner with Strategy and Operations and Finance stakeholders, who own the end-to-end processes for incentives design, to translate high-priority business problems into clear, data-driven strategies and decisions.
• Own the full data science life-cycle, using your causal inference, predictive modeling, and descriptive analytics expertise to build frameworks that solve business problems.
• Manage ambiguous problems working with datasets, using SQL, R, and Python to find creative, scalable solutions and build automated data pipelines, BI infrastructure, and dashboards from the ground up.
• Act as a data storyteller and partner, translating findings into compelling narratives and recommendations that influence and align executive leaders and teams (Strategy, Product, Engineering).

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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.

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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.