Staff Data Scientist, Research, Real World Journeys

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

Job summary

An established industry player is seeking a skilled Data Scientist to join their innovative team. In this role, you will leverage your expertise in data analysis, predictive modeling, and large language models to solve complex business problems and drive impactful recommendations. You'll collaborate with product and engineering teams to shape strategies that enhance user experience across various commercial search verticals. This position offers a unique opportunity to make a significant impact on billions of users globally while working in a dynamic and supportive environment that values creativity and innovation. If you are passionate about data science and eager to contribute to transformative projects, this is the perfect opportunity for you.

Benefits

Bonus

Equity

Comprehensive Benefits

Flexible Work Hours

Qualifications

• 8 years of experience in analytics or 6 years with a PhD.
• Experience in predictive modeling and applying large language models.

Responsibilities

• Collaborate with stakeholders to identify business questions.
• Apply analytics and LLM to address business challenges.
• Gather and validate data for analysis.

Skills

Data Analysis

Predictive Modeling

Python

R

SQL

Critical Thinking

Communication Skills

Leadership

Education

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

Tools

SQL

R

Python

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. 4 years of experience in predictive modeling.
4. Experience applying large language models to help solve problems.

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. Track record of solving unstructured business problems with data science and translating results into impactful business/product recommendations.
3. Ability to think critically, analyze complex problems, and develop data-driven solutions.
4. Excellent verbal and written communication skills with the ability to articulate complex concepts to both technical and non-technical stakeholders.
5. Exceptional leadership skills with the ability to inspire other data science team members.

The Real World Journeys Data Science team is part of the broader Search Data Science and Engineering team. We focus on enhancing user experience and driving growth across a wide range of commercial search verticals, including Lodging, Flights, Events, Things to Do, Food and Drink, Services, and more. We work closely with the Product and Engineering teams to shape strategy and ensure data-driven decision-making throughout the organization.

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 (https://careers.google.com/benefits/).

Responsibilities:

1. 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.
2. Use custom data infrastructure or existing data models as appropriate, using specialized grip. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
3. Apply analytics, experimentation, causal inference and Large Language Model (LLM) to address business challenges.
4. 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.
5. Frame and solve ambiguous business problems while researching and developing new methodologies to solve them when needed.

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.