Senior Data Scientist, Product Ecosystem Analysis

AECOM; San Francisco (CA); On-site; USD 156,000 - 229,000; Full time

Job summary

AECOM is seeking a Data Scientist to leverage analytical skills in a fast-paced environment. The role involves using statistical analysis, coding in Python, R, and SQL, and making data-driven recommendations for product improvements. The successful candidate will collaborate across teams to drive strategic insights and ensure data quality.

Qualifications

• 8 years experience in analytics or 5 years with a Master's.
• Experience in Online Publisher/Media, and Internet Content Platform Ecosystem.

Responsibilities

• Solve ambiguous business problems and provide analytical support.
• Report on KPIs and translate results into actionable insights.
• Build processes and tools for analysis.

Skills

Statistical analysis

Python

R

SQL

Education

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, or related field

Master's degree in Statistics, Mathematics, Data Science, Engineering, or related field

Job description

Minimum qualifications:

+ Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.

+ 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years of work experience with a Master's degree).

+ Experience in the Online Publisher/Media, Internet Content Platform Ecosystem space.

Preferred qualifications:

+ Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

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 for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

Applied Research and Strategy is responsible for horizontal analysis and methodology development for DS impact and informs Knowledge and Informations strategic decisions. The team drives strategic insights for Knowledge and Informations leaders across external landscape, growth and long term. The team develops cross-Knowledge and Informations data science strategies and approaches, creates cross-product metrics, and ensures data quality on new methodologies and tools to enable insights.

The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google (https://careers.google.com/benefits/) .

+ Help solve problems, take ownership of open-ended ambiguous business problems to reach an optimal solution, and perform analysis utilizing tools (e.g., SQL, R, Python).

+ Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues.

+ Report on Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team, and translate analysis results to business insights or product improvement opportunities.

+ Build and prototype analysis and business cases to provide insights, develop knowledge of Google data structures and metrics, advocating for changes where needed for product development.

+ Influence across teams to align resources and direction.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.