Senior Data Scientist, Research, Search Verticals and Translate

AECOM; San Francisco (CA); On-site; USD 166,000 - 244,000; Full time

Job summary

AECOM is seeking a Data Scientist to leverage analytics in driving product strategies and innovation. Applicants should hold an advanced degree in a quantitative field and possess significant experience in using data to solve complex business challenges. This role offers a high degree of autonomy to influence product outcomes and develop analytical models that can affect billions of users globally. AECOM values diversity and promotes equal opportunity in the workplace.

Qualifications

• Master's degree or equivalent experience required.
• 5 years in analytics or 3 years with a PhD.
• 2 years in data science within a tech company.

Responsibilities

• Use analytics to identify business opportunities and enhance product strategies.
• Collaborate with stakeholders on data-driven projects.
• Own the data gathering and analysis process across various tools.

Skills

Python

R

SQL

Statistical Analysis

Machine Learning

Data Analysis

Causal Inference

Experiment Design

Education

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

PhD in Computer Science, Statistics, Applied Mathematics, or related technical field

Tools

SQL

R

Python

Job description

Minimum qualifications:

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

+ 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.

+ 2 years of experience in a data science role within a technology company.

Preferred qualifications:

+ PhD in Computer Science, Statistics, Applied Mathematics, Operations Research or related technical 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.

+ Experience influencing product strategy and innovation with data science.

+ Experience in controlled experiment design and causal inference methods.

In this role, your mission is to bring new users to vertical and international experiences and help existing users get the most out of the existing verticals. Your mandate is to accelerate products that have product market fit, identify common patterns and opportunities, and scale impact to all verticals as quickly as possible.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

The US base salary range for this full-time position is $166,000-$244,000 + 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/) .

+ 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.

+ Research and develop advanced analysis, forecasting, experimentation, Machine Learning (ML) and optimization methods to identify growth opportunities, (e.g., forecasting at scale, user segmentation, causal inference modeling, or churn prediction).

+ Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure. Initiate projects inside and across the organization and drive to completion autonomously.

+ Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

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.