Business Data Scientist, Finance
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Bachelor's degree Statistics, Economics, Mathematics, in a quantitative discipline, or equivalent practical experience.
- 5 years of experience in the Industry in a Data Analyst or Data Science role, analyzing data sets to solve business problems through statistical methods and predictive analytics.
Preferred qualifications:
- Experience in data analysis, especially for time series data, to solve business problems in complex, fast-moving, and ambiguous business environments with strong data intuition and business acumen.
- Experience in stakeholder-facing or client-facing roles (e.g. previous consulting role).
- Experience with statistical softwares (e.g., Python), database languages (e.g., SQL), and data visualization tools (e.g., Tableau).
- Excellent communication skills (written and verbal) to translate technical solutions and methodologies to leadership.
About the job
As a Quantitative Analyst, you will be responsible for analyzing large data sets and building expert systems that improve our understanding of the Web and improve the performance of our products. This effort includes performing complex statistical analysis on non-routine problems and working with engineers to embed models into production systems. You will manage fast changing business priorities and interface with product managers and engineers.
The Finance Data and Analytics (DnA) team combines business acumen, technology and innovation to organize data, enable insights and create data driven and efficient Finance organization in Google. At Google, data drives all of our decision-making. You will be part of a growing Data Science team for Data Scientists and Machine Learning Engineers. You will work on strategic business challenges across multiple business areas (e.g. Ads, YouTube, Search, Play, etc.) through the lens of business generation. You will collaborate with Data Scientists, Data Engineers, and Project Managers to create data products to enable our finance partners to make informed decisions, manage risks and opportunities.
Responsibilities
- Partner with Finance leadership and their teams to understand business context, ideate, and deliver insights and prototypes.
- Work with Machine Learning Scientists and Engineers to improve usability of the Machine Learning models through the design of appropriate metrics.
- Collaborate with Machine Learning Scientists to develop and improve models (e.g. identifying new data sources, hypothesis testing, feature engineering, model prototyping, analyzing model output and model explainability).
- Provide analyses through advanced analytics/statistical methods that tell a “story” focused on business insights.
- Develop reusable and robust analytic frameworks to ensure consistent results across business areas.Contribute to a culture of learning, sharing and making Machine Learning accessible across the broader team and our stakeholders.
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.