Senior Data Scientist Manager, Product, Play Store

AECOM; Mountain View (CA); On-site; USD 227,000 - 320,000; Full time

Job summary

A leading technology company seeks a Senior Data Scientist to lead a team dedicated to providing quantitative support and insights to drive business decisions. The ideal candidate will possess a strong background in statistics and data science, a proven track record in management, and the capability to communicate complex findings effectively. This full-time role offers a competitive salary and the opportunity to make impactful decisions while fostering a culture of excellence.

Benefits

Bonus

Equity

Comprehensive benefits package

Qualifications

• 13 years of work experience using analytics to solve product/business problems.
• 5 years as a people manager within a technical leadership role.

Responsibilities

• Perform analysis using tools like SQL, R, and Python.
• Own projects from data handling to stakeholder presentation.
• Mentor and manage junior data scientists.

Skills

Statistical analysis

Coding (Python, R, SQL)

Project management

Education

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics

Master's degree (preferred)

Job description

Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 10 years work experience with a Master's degree.
• 5 years of experience as a people manager within a technical leadership role.

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 15 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
• 6 years of experience as a people manager within a technical leadership role.

Job Description:

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding, and a strategic perspective to our partners throughout the organization. As a data-loving team member, you serve as an analytics expert, using numbers to help make better decisions, weaving stories with meaningful insights from data, and making critical recommendations for Engineering and Product Management teams. You will be involved in tallying data and communicating findings effectively.

The Play Store and Ads team aims to become trusted experts across our content catalog, providing value to users and developers throughout the content lifecycle, from development to engagement.

As the leader of this team, you will oversee a large group of Data Scientists, providing insights that help Product and Go-To-Market teams make informed decisions to delight users, grow the business, and deliver ROI for partners. You will act as a thought partner to cross-functional leadership.

Google is an engineering company that hires individuals with broad technical skills to tackle major technological challenges and impact users globally. Our engineers work on scalable systems, large-scale applications, and innovative platforms across various Google products.

The US base salary range for this full-time role is $227,000-$320,000 plus bonus, equity, and benefits. Salary details depend on role, level, location, skills, experience, and education. The recruiter will provide specific salary info during hiring. Note that listed salaries reflect base pay only; bonuses, equity, and benefits are additional.

Responsibilities include:

• Perform analysis using tools like SQL, R, Python, leading projects from problem definition to stakeholder presentation.
• Own projects end-to-end, including problem framing, data handling, modeling, visualization, and implementation.
• Manage project timelines, drive improvements, and define operational goals.
• Identify key focus areas aligned with business goals, develop projects, and secure stakeholder buy-in.
• Mentor and manage junior data scientists, fostering a culture of excellence and learning.

Google is proud to be an equal opportunity employer and is committed to diversity and inclusion. We consider all qualified applicants without regard to race, color, religion, sex, national origin, sexual orientation, age, disability, or veteran status. For accommodations, please complete our form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.