Senior Data Scientist Manager, Product, Play Store Apps

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

Job summary

AECOM is seeking a Data Scientist to lead the Apps DSA team, providing analytical support for product and business decisions at Google. You will mentor junior scientists and drive strategic initiatives, leveraging data to enhance user experiences and deliver business results. This role offers a competitive salary and the chance to impact millions globally.

Qualifications

• 13 years of work experience using analytics or 10 years with a Master's degree.
• 5 years of people management experience in a technical leadership role.

Responsibilities

• Perform analysis using SQL, R, Python to support decision-making.
• Own projects end-to-end from problem definition to presentation.
• Mentor and manage junior data scientists.

Skills

Statistical analysis

Analytics

Project management

Leadership

Python

R

SQL

Education

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

Master's degree in a related quantitative field

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 and 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.
• 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 member of the team, you serve as an analytics expert, using numbers to help make better decisions. You will weave stories with meaningful insights from data and make critical recommendations for your colleagues in Engineering and Product Management.

At Play DSA, we work on challenging data science projects to drive product and go-to-market decisions for Play. The Play Apps team aims to become trusted experts across our Apps content catalog, providing value for users and developers across the entire App lifecycle. As the leader of the Apps DSA team, you will shape the future of experiences for individuals and developers worldwide, leading a large team of Data Scientists in the US and India to provide insights that help Apps Product and GTM teams make informed decisions to delight users, grow our business, and deliver ROI for our partners. You will act as a thought partner to the GM of Play Apps and their cross-functional leadership team.

Google is an engineering company at heart. We hire people with broad technical skills to tackle some of technology's greatest challenges. Our engineers work on scalability, storage solutions, large-scale applications, and new platforms for developers worldwide. From Google Ads to Chrome, Android to YouTube, Google engineers are changing the world one technological achievement at a time.

The US base salary range for this full-time position is $227,000-$320,000 plus bonus, equity, and benefits. Salary ranges are role, level, and location-dependent. Your recruiter can share more during the hiring process. Compensation details reflect the base salary only, excluding bonus, equity, or benefits. Learn more about benefits at Google (https://careers.google.com/benefits/).

Responsibilities:

• Perform analysis using tools like SQL, R, Python to support decision-making.
• Own projects end-to-end, from problem definition to stakeholder presentation.
• Oversee project timelines, drive improvements, and define operational goals.
• Identify key focus areas based on business goals, develop projects, and obtain stakeholder buy-in.
• Mentor and manage junior data scientists, fostering technical excellence and continuous learning.

Google is proud to be an equal opportunity workplace and affirmative action employer. We are committed to diversity and inclusion. For accommodations, please complete our form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.