Lead Data Scientist, Research, Multimodal Search

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

Job summary

An established industry player is seeking an experienced analytics leader to join their Contextual Search team. This role involves setting a research agenda to enhance user search experiences by leveraging advanced data analysis and engineering capabilities. You will tackle complex challenges and collaborate with cross-functional teams to develop innovative solutions that impact billions globally. If you are passionate about using data to drive strategic decisions and lead a team of analysts, this opportunity offers a dynamic environment where your contributions will be valued and recognized.

Qualifications

• 8 years experience in analytics with coding skills in Python, R, or SQL.
• 2 years of experience as a people manager in a technical role.

Responsibilities

• Set research agenda to understand user search needs and deliver data-backed solutions.
• Lead a team to analyze, visualize data, and influence stakeholders.

Skills

Analytics

Python

R

SQL

Statistical Analysis

People Management

Education

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering

PhD degree

Tools

SQL

Python

R

Job description

Minimum qualifications:

1. Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
2. 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.
3. 2 years of experience as a people manager within a technical leadership role.

Preferred qualifications:

1. 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.
2. Experience in assessing opportunities and measuring performance of new products with few precedents or comparables.
3. Understanding when to apply the cannon of existing tools and analysis, and when to forge something new.
4. Ability to be comfortable doing unprecedented things, and thinking about things in new ways.

Job Description:

The mission of the Contextual Search team is to make Google Search even more useful by seamlessly answering questions motivated by your information context. This includes searching for things you see on your screen, as well as asking questions that reference the page you are on, the PDF you are reading, or the video you are watching.

By leveraging the computer vision capabilities developed through Google Lens, and the ability of LLMs to take in and synthesize multiple pieces of information context, we can answer new types of questions and make it easier for users to reach their information goals.

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 $197,000-$291,000 + 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.

Responsibilities:

1. Set and deliver the research agenda to understand users' Search needs beyond text inputs. Identify data-backed solutions to meet needs by collaborating with Engineering, Program Managers, and User Research teams to land data-driven growth strategies.
2. Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
3. Design and instrument new metrics as needed. Set technical standards for evaluation and launch decisions.
4. Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Build processes to keep data front-of-mind for decision makers, and unblock launch decisions.
5. Lead a team of analysts in framing problems, developing metrics, extracting, manipulating, and visualizing data. Implementing models, and influencing stakeholders through presentations and written communication.

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.