Experienced Product Data Scientist for Google – Data Analysis, Statistical Modeling, and Business Insights
Introduction to Google and the Role
Google, a leader in the technology industry, is seeking an experienced Product Data Scientist to join its team. As a Product Data Scientist, you will play a crucial role in driving business decisions through data analysis, statistical modeling, and insights. This is an exceptional opportunity to work with a talented team of professionals who are passionate about using data to inform product development and business strategy.
Job Overview
The Training Information Insights team at Google is responsible for providing deep understanding of the business and product performance, and developing insights to drive key decisions. As a Product Data Scientist in this team, you will work closely with cross-functional teams, including Product and Engineering, to build extraordinary products that delight clients worldwide. Your primary focus will be on leading proactive investigations to identify and measure new opportunities, and conducting rigorous analysis to better understand client behavior and how clients interact with Google's products.
Key Responsibilities
Define, own, and refine product success metrics, working with Product Management, UX, and Engineering to develop a comprehensive metric framework that links to business outcomes.
Report, track, and analyze key metrics, making recommendations to improve them, and identifying critical product functionalities and evaluating their business impact.
Collaborate with Engineering teams to identify and address instrumentation gaps, ensuring accurate data collection for key functionalities, with a focus on business-generating client journeys.
Work with Product, Engineering, and cross-functional teams to influence, prioritize, and support product strategy, applying technical expertise with observational data analysis to address critical business questions.
Deliver effective presentations of data-driven insights and recommendations to various levels of stakeholders.
Qualifications and Skills
To be successful in this role, you will need to have a strong foundation in statistics, mathematics, computer science, or a related quantitative field. A Bachelor's degree in one of these fields, or equivalent practical experience, is required. Additionally, you should have at least 3 years of experience in analysis applications, such as data analysis, statistical analysis, or business problem-solving, and coding skills in languages like Python, R, or SQL.
Preferred Qualifications
Experience with experimental design, data analysis, survey methodology, and statistical modeling.
Experience in operational analysis or project management support, such as consulting, management reporting, or Six Sigma certification.
Ability to apply statistical training to real-world data, and to complete projects independently and work with cross-functional teams in a fast-paced environment.
Excellent problem-solving and analytical skills, with the ability to communicate complex ideas effectively to both technical and non-technical stakeholders.
Career Growth and Learning Opportunities
At Google, you will have the opportunity to work with a talented team of professionals who are passionate about using data to drive business decisions. You will be able to develop your skills in data analysis, statistical modeling, and insights, and apply them to real-world problems. Google offers a range of training and development programs to help you grow your career, including mentorship opportunities, workshops, and conferences.
Work Environment and Company Culture
Google is known for its dynamic and innovative work environment, where employees are encouraged to think creatively and push the boundaries of what is possible. The company culture is built around a set of core values, including a focus on innovation, collaboration, and community. As a Google employee, you will be part of a diverse and inclusive community that values different perspectives and ideas.
Compensation and Benefits
Google offers a competitive salary and benefits package, including a salary of $25 per hour, comprehensive health insurance, retirement savings plans, and paid time off. Additionally, employees have access to a range of perks and benefits, including free meals, on-site fitness classes, and discounts on Google products and services.
Conclusion
If you are a motivated and talented data scientist looking for a challenging and rewarding role, this is an exceptional opportunity to join Google's team. With a strong foundation in statistics, mathematics, and computer science, and a passion for using data to drive business decisions, you will be well-suited to this role. Apply now to take the first step in your career as a Product Data Scientist at Google.
Location: Virginia, USA
Employment Type: Full-time
Work Hours: 8 hours per day
Industry: Private
Hiring Organization: Google
Post Name: Product Data Scientist
Apply Now
Google, a leader in the technology industry, is seeking an experienced Product Data Scientist to join its team. As a Product Data Scientist, you will play a crucial role in driving business decisions through data analysis, statistical modeling, and insights. This is an exceptional opportunity to work with a talented team of professionals who are passionate about using data to inform product development and business strategy.
Job Overview
The Training Information Insights team at Google is responsible for providing deep understanding of the business and product performance, and developing insights to drive key decisions. As a Product Data Scientist in this team, you will work closely with cross-functional teams, including Product and Engineering, to build extraordinary products that delight clients worldwide. Your primary focus will be on leading proactive investigations to identify and measure new opportunities, and conducting rigorous analysis to better understand client behavior and how clients interact with Google's products.
Key Responsibilities
Define, own, and refine product success metrics, working with Product Management, UX, and Engineering to develop a comprehensive metric framework that links to business outcomes.
Report, track, and analyze key metrics, making recommendations to improve them, and identifying critical product functionalities and evaluating their business impact.
Collaborate with Engineering teams to identify and address instrumentation gaps, ensuring accurate data collection for key functionalities, with a focus on business-generating client journeys.
Work with Product, Engineering, and cross-functional teams to influence, prioritize, and support product strategy, applying technical expertise with observational data analysis to address critical business questions.
Deliver effective presentations of data-driven insights and recommendations to various levels of stakeholders.
Qualifications and Skills
To be successful in this role, you will need to have a strong foundation in statistics, mathematics, computer science, or a related quantitative field. A Bachelor's degree in one of these fields, or equivalent practical experience, is required. Additionally, you should have at least 3 years of experience in analysis applications, such as data analysis, statistical analysis, or business problem-solving, and coding skills in languages like Python, R, or SQL.
Preferred Qualifications
Experience with experimental design, data analysis, survey methodology, and statistical modeling.
Experience in operational analysis or project management support, such as consulting, management reporting, or Six Sigma certification.
Ability to apply statistical training to real-world data, and to complete projects independently and work with cross-functional teams in a fast-paced environment.
Excellent problem-solving and analytical skills, with the ability to communicate complex ideas effectively to both technical and non-technical stakeholders.
Career Growth and Learning Opportunities
At Google, you will have the opportunity to work with a talented team of professionals who are passionate about using data to drive business decisions. You will be able to develop your skills in data analysis, statistical modeling, and insights, and apply them to real-world problems. Google offers a range of training and development programs to help you grow your career, including mentorship opportunities, workshops, and conferences.
Work Environment and Company Culture
Google is known for its dynamic and innovative work environment, where employees are encouraged to think creatively and push the boundaries of what is possible. The company culture is built around a set of core values, including a focus on innovation, collaboration, and community. As a Google employee, you will be part of a diverse and inclusive community that values different perspectives and ideas.
Compensation and Benefits
Google offers a competitive salary and benefits package, including a salary of $25 per hour, comprehensive health insurance, retirement savings plans, and paid time off. Additionally, employees have access to a range of perks and benefits, including free meals, on-site fitness classes, and discounts on Google products and services.
Conclusion
If you are a motivated and talented data scientist looking for a challenging and rewarding role, this is an exceptional opportunity to join Google's team. With a strong foundation in statistics, mathematics, and computer science, and a passion for using data to drive business decisions, you will be well-suited to this role. Apply now to take the first step in your career as a Product Data Scientist at Google.
Location: Virginia, USA
Employment Type: Full-time
Work Hours: 8 hours per day
Industry: Private
Hiring Organization: Google
Post Name: Product Data Scientist
Apply Now