Lead Data Scientist, Research, Multimodal Search

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

Job summary

Google is seeking a seasoned analytics professional to join the Contextual Search team in Mountain View. The role involves leading research agendas, utilizing analytics to drive product solutions, and collaborating with various stakeholders. The ideal candidate will have a strong quantitative background and experience in technical leadership, and will play a critical role in enhancing user search experiences.

Qualifications

• 8 years of experience in analytics or 6 years with a PhD.
• 2 years of experience as a people manager in a technical leadership role.

Responsibilities

• Set and deliver the research agenda for Search needs beyond text inputs.
• Design and evaluate data models to address defined problems.
• Lead a team in data extraction, manipulation, and visualization.

Skills

Analytics

Leadership

Problem Solving

Statistical Analysis

Data Visualization

Education

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

Tools

Python

R

SQL

Job description

corporate_fare Google place Mountain View, CA, USA

Apply

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

Preferred qualifications:

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

About the job

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. Learn more about benefits at Google .

Responsibilities

• 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.
• 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.
• Design and instrument new metrics as needed. Set technical standards for evaluation and launch decisions.
• 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.
• 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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.