Data Scientist, Product, Play Monetization

2 - 6 years

0 Lacs

Posted:2 months ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a Data Scientist at Google, you will play a crucial role in providing quantitative support, market understanding, and strategic insights to partners across the organization. Your primary responsibility will be to leverage your analytical skills to help Google make informed decisions based on data-driven insights. You will collaborate with various teams to analyze user behaviors, design experiments, and drive product improvements to enhance user experiences. To qualify for this role, you should possess a Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Additionally, you should have at least 5 years of experience in analysis applications, including statistical analysis, business problem-solving, and coding in languages such as Python, R, and SQL. Alternatively, a Master's degree with 2 years of relevant experience is also acceptable. Preferred qualifications for this position include a Master's degree in a quantitative field, experience in developing new models and approaches, proficiency in classification and regression tasks, and the ability to identify opportunities for business/product improvement. You should also have hands-on experience in developing machine learning models, conducting A/B testing, and building end-to-end data infrastructure and analytics pipelines. In this role, you will collaborate with Play/Apps Product Managers, Engineering teams, and UX experts to gain insights into user behaviors and drive product enhancements. You will be responsible for producing actionable insights and metrics for technical and business stakeholders, as well as delivering compelling presentations to leadership teams. Furthermore, you will be involved in developing scalable data pipelines, automating reports, and building dashboards to provide insights at scale. If you are passionate about data analysis, storytelling with numbers, and influencing strategic decisions through data-driven recommendations, this role offers an exciting opportunity to make a significant impact on Google's global user base.,

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