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Research Data Scientist, Growth and Notifications

Research Data Scientist, Growth and Notifications

1 Month ago • All levels • Data Analyst

About the job

7 skills required for this role

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java

unity

javascript

cpp

python

sql

critical-thinking

Job Description

The Research Data Scientist will be part of the Growth and Notifications Team (GaNT) at Google, focusing on analyzing data to drive growth and engagement across Google products like YouTube, Photos, and Maps. Responsibilities include collaborating with stakeholders to define research questions, gathering and processing data using tools like SQL, R, and Python, designing and evaluating experiments using statistical analysis and modeling, developing reports and dashboards, and contributing to a wide variety of research projects. The ideal candidate will have experience with statistical data analysis, experimental design, and software development, strong communication skills, and a proven ability to translate data insights into actionable recommendations.

Must have:

Master's degree in quantitative field
Statistical data analysis & experimental design
Software development (Python, C++, Java etc.)
Data analysis for product/business problem solving
Statistical modeling & dashboard creation

Good to have:

Translating analysis into business recommendations
Implementing core ML concepts
Knowledge of measurement, statistics & program evaluation
Excellent written and verbal communication skills

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Minimum qualifications:

Master's degree in Statistics, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
Experience with statistical data analysis and experimental design.
Experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
Experience using analytics to solve product or business problems, statistical modeling and creating dashboards.

Preferred qualifications:

Experience in translating analysis results into business recommendations and business questions into an analysis framework.
Experience implementing core ML concepts.
Applied knowledge of measurement, statistics and program evaluation.
Good written and verbal communication skills that enable you to translate data into easily understood insights.
Good problem-solving and critical thinking skills.

About the job

At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.

As a key member of the team, you work with engineers to analyze and interpret data, develop metrics to measure results and integrate new methodologies into existing systems.

Growth and Notifications Team (GaNT) Analytics is all about data, quality and teamwork. Engineers work side by side with analysts and product in a collaborative atmosphere to build products that affect users.

The GaNT Analytics Team works to shape the future of growth and notifications across Google’s products like YouTube, Photos, and Maps through developing a deep understanding of what drives growth and engagement across the Google ecosystem. Specifically, we look at problems like: What are signals for notification satisfaction or harm? What information is most useful to users on new devices, and much more.

Responsibilities

Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
Define and evaluate experiments and contribute to a wide variety of research projects using statistical analysis and modeling.
Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs.

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.