**Experienced Data Scientist - Product Intern: Remote Google Jobs $25/Hr - Drive Business Growth with Data-Driven Insights**

Join the Google Team as a Remote Data Scientist - Product Intern and Revolutionize Business Decision-Making with Data Science Are you a motivated and talented individual with a passion for data science and a drive to make a real impact? Do you want to be part of a dynamic team that is changing the world with innovative technology? Look no further! Google is seeking a highly skilled Data Scientist - Product Intern to join our team on a remote basis. As a Data Scientist - Product Intern, you will have the opportunity to work with cross-functional stakeholders to drive business growth through data-driven insights, develop and automate reports, and deliver effective presentations of findings and recommendations. About Google and the Data Science Team Google is an engineering company that hires people with a wide range of technical skills who are equipped to tackle some of technology's greatest challenges and make an impact on millions, if not billions, of users. Our engineers not only revolutionize search, but also work on large-scale scalability and storage solutions, massive-scale applications, and entirely new systems for developers around the world. From Google Ads to Chrome, Android to YouTube, and Social to Local, Google engineers are changing the world one technological achievement after another. The Data Science team at Google is responsible for providing quantitative analysis, market data, and a strategic perspective to our partners at various levels within the organization. As a member of this team, you will feature an analytics expert to your partners, using numbers to help them make better decisions. You will weave stories with considerable belief from statistics and make key recommendations for Googlers in Engineering and Product Management. Key Responsibilities Conduct statistical analysis to make business or product recommendations (i.e., cost-benefit, invest-divest, forecasting, impact assessment) Deliver effective presentations of findings and recommendations to multiple tiers of stakeholders, developing visual displays of quantitative data Develop and automate reports, iteratively assemble and prototype dashboards to provide insights at scale, solving for analytical needs Collaborate with cross-functional stakeholders to recognize their business needs, formulate and complete assessments that include data gathering, analysis, ongoing scaled deliverables, and presentations Help Google focus on key decisions to enhance products and services Essential Qualifications Currently pursuing a Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences, etc.) Experience working with statistical packages (e.g., R, SAS, Stata, MATLAB, etc.) Experience articulating product questions, pulling statistics from datasets (SQL), and using statistics to attain an answer Preferred Qualifications Currently attending a degree program within the United States and available to work full-time for 12 weeks outside of university term time In their penultimate academic year or returning to a post-graduate program after completion of the internship Ability to translate assessment outcomes into business guidelines Interest and potential to work with statistics, metrics, assessment, and developments, and a finished knowledge of measurement, statistics, and alertness assessment Excellent problem-solving and written/verbal communication abilities, with first-rate business judgment Skills and Competencies Required for Success Strong analytical and problem-solving skills Excellent communication and presentation skills Ability to work collaboratively with cross-functional stakeholders Strong attention to detail and organizational skills Ability to think strategically and make data-driven recommendations Career Growth Opportunities and Learning Benefits At Google, we are committed to the growth and development of our employees. As a Data Scientist - Product Intern, you will have the opportunity to work on challenging projects, collaborate with experienced professionals, and develop your skills in data science and analytics. You will also have access to a range of learning resources, including training programs, mentorship opportunities, and industry conferences. Work Environment and Company Culture Google is a dynamic and innovative company that values collaboration, creativity, and diversity. Our remote work environment allows you to work from anywhere, at any time, and still be connected to the team. We offer a range of benefits, including flexible work arrangements, professional development opportunities, and a culture of openness and transparency. Compensation, Perks, and Benefits The US base salary range for this full-time position is $85,000-$106,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting represents the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by location and additional factors, which include project-related skills, experience, and relevant education or training. Your recruiter can share more about the unique salary range for your selected location during the hiring process. We also offer a range of perks and benefits, including: Competitive salary and bonus structure Stock options and equity Comprehensive health and wellness programs Flexible work arrangements and remote work options Professional development opportunities and training programs Conclusion If you are a motivated and talented individual with a passion for data science and a drive to make a real impact, we encourage you to apply for this exciting opportunity. As a Data Scientist - Product Intern at Google, you will have the chance to work on challenging projects, collaborate with experienced professionals, and develop your skills in data science and analytics. We look forward to hearing from you! Apply now and join the Google team as a Remote Data Scientist - Product Intern! Apply for this job