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Google Hiring for Business Data Scientist, Finance at Chicago, IL Full Time
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Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Chicago, IL, USA; Kirkland, WA, USA; Sunnyvale, CA, USA.
Minimum qualifications:
- Bachelor’s degree in a quantitative discipline or equivalent practical experience
- 7 years of experience in a Data Analyst or quantitative role
- Experience managing the lifecycle of projects and coaching members into managing their own projects
- Experience with statistical software (Python or R), database languages (SQL) and data visualization tools (Tableau, Looker, or Power BI)
Preferred qualifications:
- Master’s degree in a quantitative discipline (e.g., Statistics, Computer Science, Math, Engineering) or equivalent practical experience.
- Consulting experience and strong data intuition and business acumen, with relevant experience in data analysis, especially for time series data, to solve business problems in complex, fast-moving, and ambiguous business environments
- Experience communicating and translating technical information with technical and non-technical stakeholders
- Effective communication (written and verbal) to translate technical solutions and methodologies to senior leadership
About the job
The Finance Data & Analytics (DnA) team combines business acumen, technology and innovation to organize data, enable insights and create data driven and efficient Finance organization in Google. As part of this team, you will have a unique opportunity to gain perspectives on Google’s core businesses, services and the products.
At Google, data drives all of our decision-making. You will be part of a growing Data Science team for Data Scientists and ML Engineers. You will work on strategic business challenges across multiple business areas (e.g. Ads, YouTube, Search, Play, etc.) through the lens of monetization. You will collaborate with other Data Scientists, Analysts, Engineers, and Project Managers to create end-to-end data products to enable our finance partners to make informed decisions, manage risks and opportunities.
You will be technically proficient in applying their analytical and storytelling skills to democratize data, metrics and insights driven decision making for Google Finance. You are naturally curious about data, excited about deriving insights from data, experienced in improving usability of those insights, and motivated by having impact on the business.
The name Google came from “googol,” a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business.
Responsibilities
- Partner with Finance leadership and their teams to understand business context, iterate and improve on data insights to deliver actionable information to the business
- Provide analyses through advanced analytics / statistical methods that tell a “story” focused on business insights, not just data. Develop reusable & robust analytic frameworks to ensure consistent results across business areas
- Create data visualization to summarize the data insights and effectively employ clear and structured communication to tech and non-tech audiences
- Support ML Scientists on performing additional exploratory data analysis for feature engineering, and analyzing model outputs and relationship with features for model performance improvement
- Work with machine learning Scientists and Engineers to improve usability of the machine learning models through the design of appropriate metrics
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.
