Staff Data Scientist, Applied Research, Search Platforms

Google Inc.; Mountain View (CA); On-site; USD 197,000 - 291,000; Full time

Job summary

An established industry player is seeking a Staff Data Scientist to join their innovative Search Platforms team. This role involves leveraging extensive analytical skills to solve complex business problems and enhance user experiences. You will work with large datasets, collaborate with cross-functional teams, and present insights that drive strategic decisions. The position offers a competitive salary and the chance to impact billions globally through cutting-edge data science initiatives. If you're passionate about data and eager to make a difference, this is the perfect opportunity for you.

Qualifications

• 8+ years of experience using analytics to solve product or business problems.
• Strong coding skills in Python, R, and SQL.

Responsibilities

• Work with large datasets to solve complex analysis problems.
• Collaborate with engineers and teams to improve products.

Skills

Analytics

Python

R

SQL

Statistical Analysis

Data Visualization

Communication Skills

Education

Master's degree in Statistics

PhD in a related field

Job description

Staff Data Scientist, Applied Research, Search Platforms

corporate_fare Google place Mountain View, CA, USA; Cambridge, MA, USA

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info_outline Note: By applying to this position, you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Cambridge, MA, USA.

Minimum Qualifications

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.

Preferred Qualifications

• 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.
• Experience with strategic analysis, metric reporting, and executive presentations.
• Experience with statistical modeling, survey design, data analysis, and effective experimental design.
• Ability to complete project work independently and collaborate with cross-functional teams in a dynamic environment.
• Ability to apply statistical training to real-world data.
• Excellent communication skills, with the ability to extract insights from data and tell compelling stories.

About the job

The Search Platform Data Science team focuses on understanding and measuring Search systems, including metrics like Experiment, Reliability, Velocity, Latency, Capacity, Content, Logs Quality, and Search Infrastructure.

Data Scientists work on defining and developing system metrics to understand system effectiveness and efficiency, and how they interact with other Google systems. They collaborate with Engineering, Product teams, SREs, and other verticals to optimize systems and understand the impact on user experience and business.

Google Search aims to reimagine how people find information worldwide. Joining the Search team provides an opportunity to impact billions globally.

The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Salary ranges depend on role, level, and location. Specifics will be shared during the hiring process.

Note: Listed compensation reflects base salary only; bonus, equity, and benefits are additional. Learn more about benefits at Google.

Responsibilities

• Work with large, complex datasets; solve non-routine analysis problems; conduct data gathering, processing, analysis, and presentations.
• Build and prototype analysis pipelines; understand Google data structures and advocate for necessary changes.
• Collaborate cross-functionally with engineers and other teams to improve products.
• Present findings effectively to stakeholders, using visual data displays.
• Research and develop methods for analysis, forecasting, and optimization to enhance Google's products, including ads quality, search quality, behavioral modeling, and experiments.

Google is committed to equal opportunity employment and fostering a diverse workforce. We value inclusivity and provide equal employment opportunities regardless of race, gender, or other protected characteristics. For more information, see Google's EEO Policy and related resources.

English proficiency is required for all roles to facilitate global collaboration.

Note to recruitment agencies: Google does not accept unsolicited resumes or pay fees for unsolicited resumes.