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Senior Data Scientist, Research, Search AI

Google Inc.

Mountain View (CA)

On-site

USD 166,000 - 244,000

Full time

6 days ago
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Job summary

An innovative company seeks a Senior Data Scientist to tackle complex challenges in AI and search technology. In this role, you will leverage your analytical skills to enhance product development, working closely with engineers and product managers. You'll be at the forefront of AI advancements, implementing cutting-edge models to improve user experience. This position offers a competitive salary and the chance to make a significant impact on products used by billions. If you're passionate about data and technology, this is an exciting opportunity to join a forward-thinking team.

Benefits

Equity
Health benefits
Flexible work hours
Wellness programs
Professional development opportunities

Qualifications

  • 5+ years of experience in analytics and coding to solve business problems.
  • Master's or PhD in a quantitative field is preferred.

Responsibilities

  • Collaborate with stakeholders to translate questions into analysis.
  • Design and evaluate models to address product challenges.
  • Ensure data quality for analysis using various tools.

Skills

Python
R
SQL
Statistical Analysis
Data Analysis

Education

Master's degree in Statistics
PhD in a related field

Tools

SQL
R
Python

Job description

Senior Data Scientist, Research, Search AI

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.
  • At least 5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or performing statistical analysis; or 3 years of experience with a PhD degree.
Preferred qualifications:
  • 8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or performing statistical analysis; or 6 years with a PhD degree.
About the job

Google is an engineering company that hires individuals with diverse technical skills to tackle major technological challenges and impact billions of users. Data scientists at Google revolutionize search, work on scalable storage solutions, large-scale applications, and new platforms for developers worldwide. From Google Ads to YouTube, Google engineers are making significant technological advancements. As a Data Scientist, you will evaluate and enhance Google's products, collaborating with engineers and analysts across various projects. Your role involves applying scientific and statistical methods to product development challenges, with a focus on understanding user behavior.

This role offers the opportunity to work on Google Search's evolving AI space, specifically AI Mode. You will work with senior engineers and product managers to implement the latest GenAI models, enhancing the search experience and exploring new user interaction methods. The position offers a US base salary range of $166,000-$244,000 plus bonus, equity, and benefits. Salary is determined by role, level, location, skills, experience, and education, with specific figures shared during the hiring process.

Responsibilities
  • Collaborate with stakeholders to identify business or product questions and translate them into analysis, metrics, or models.
  • Design and evaluate models using specialized data infrastructure and knowledge, addressing well-defined problems.
  • Gather contextual information, goals, and data infrastructure details relevant to the analysis.
  • Extract, compile, and validate data from various sources using tools like SQL, R, and Python, ensuring data quality for analysis.

Google is committed to diversity and equal opportunity, fostering a culture of inclusion and belonging. We welcome applicants regardless of race, gender, sexual orientation, disability, or other protected characteristics. English proficiency is required for global collaboration. We do not accept unsolicited agency resumes.

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