As a Quantitative Analyst at Google, you will be responsible for analyzing large data sets and building expert systems to enhance the understanding of the Web and optimize product performance. Your role includes conducting advanced statistical analysis on complex problems and collaborating with engineers to integrate models into production systems. You will also be tasked with managing evolving business priorities and engaging with product managers and engineers. The Finance Data and Analytics (DnA) team at Google leverages business acumen, technology, and innovation to structure data, facilitate insights, and establish a data-driven and efficient Finance organization. Data plays a pivotal role in Google's decision-making processes. Joining the Data Science team, comprising Data Scientists and Machine Learning Engineers, you will address strategic business challenges across various areas such as Ads, YouTube, Search, and Play, with a focus on business growth. Your collaboration with Data Scientists, Data Engineers, and Project Managers will involve creating data products that empower finance partners to make informed decisions, manage risks, and seize opportunities. **Responsibilities:**
Collaborate with Finance leadership and their teams to comprehend the business context, brainstorm ideas, and deliver insights and prototypes. - Partner with Machine Learning Scientists and Engineers to enhance the usability of Machine Learning models by designing appropriate metrics. - Work alongside Machine Learning Scientists to refine and develop models, including identifying new data sources, conducting hypothesis testing, feature engineering, model prototyping, analyzing model output, and ensuring model explainability. - Provide analyses using advanced analytics and statistical methods that convey a narrative focused on business insights. - Build reusable and robust analytic frameworks for consistent results across different business areas. Contribute to fostering a culture of learning, sharing knowledge, and making Machine Learning accessible to the wider team and stakeholders. **Minimum Qualifications:**
Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. - 4 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:**
Proficiency in data analysis for time series data to address complex business challenges in fast-paced and ambiguous environments, with strong data intuition and business acumen. - Experience in stakeholder-facing or client-facing roles, such as a previous consulting position. - Familiarity with statistical software (e.g., Python), database languages (e.g., SQL), and data visualization tools (e.g., Tableau). - Exceptional written and verbal communication skills to effectively convey technical solutions and methodologies to leadership. As a Quantitative Analyst at Google, you will be responsible for analyzing large data sets and building expert systems to enhance the understanding of the Web and optimize product performance. Your role includes conducting advanced statistical analysis on complex problems and collaborating with engineers to integrate models into production systems. You will also be tasked with managing evolving business priorities and engaging with product managers and engineers. The Finance Data and Analytics (DnA) team at Google leverages business acumen, technology, and innovation to structure data, facilitate insights, and establish a data-driven and efficient Finance organization. Data plays a pivotal role in Google's decision-making processes. Joining the Data Science team, comprising Data Scientists and Machine Learning Engineers, you will address strategic business challenges across various areas such as Ads, YouTube, Search, and Play, with a focus on business growth. Your collaboration with Data Scientists, Data Engineers, and Project Managers will involve creating data products that empower finance partners to make informed decisions, manage risks, and seize opportunities. **Responsibilities:**
Collaborate with Finance leadership and their teams to comprehend the business context, brainstorm ideas, and deliver insights and prototypes. - Partner with Machine Learning Scientists and Engineers to enhance the usability of Machine Learning models by designing appropriate metrics. - Work alongside Machine Learning Scientists to refine and develop models, including identifying new data sources, conducting hypothesis testing, feature engineering, model prototyping, analyzing model output, and ensuring model explainability. - Provide analyses using advanced analytics and statistical methods that convey a narrative focused on business insights. - Build reusable and robust analytic frameworks for consistent results across different business areas. Contribute to
