Business Data Scientist, Global Business Strategy and Operations

Google; Mountain View (CA); Vor Ort; USD 138.000 - 197.000; Vollzeit

Zusammenfassung

Google's BizOps team seeks a data-driven professional to own data science life cycles, from initial analysis to strategic recommendation. You will lead data infrastructure, causal analysis, and dashboards that shape incentive design and business decisions.

Expect collaboration with Strategy, Finance, and cross-functional partners, delivering data-driven insights to executives and driving impact across ads strategy and operations.

Qualifikationen

• Master's degree in a quantitative discipline or equivalent practical experience.
• 3 years of analytics experience solving product/business problems with coding and SQL.
• PhD degree is a plus.

Aufgaben

• Lead analytics, data infra, and measurement methodologies for seller incentives.
• Collaborate with Strategy, Operations, and Finance to translate problems into data-driven choices.
• Own the full data science life-cycle: analysis, modeling, recommendations.
• Build scalable data pipelines, SQL/R/Python-based solutions, and BI dashboards.
• Translate findings into narratives that influence senior leaders and teams.

Kenntnisse

Python

R

SQL

Statistics

Analytics

Stakeholder management

Communication

Ausbildung

Master's degree in quantitative discipline

PhD degree (preferred)

Tools

SQL

Python

R

BI dashboards

Jobbeschreibung

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

Responsibilities

Learn more about benefits at Google .

• 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).

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .