Data Scientist III, Research

Google; New York (NY); On-site; USD 127,000 - 187,000; Full time

Job summary

Join a forward-thinking company where you will leverage your analytical skills to solve complex business problems. This role focuses on using data to drive advertising effectiveness, working collaboratively with cross-functional teams to shape innovative marketing products. You'll apply your expertise in statistics and coding to design experiments and evaluate models, making a significant impact on the company's success. If you are passionate about data-driven decision-making and enjoy mentoring others, this position offers a unique opportunity to grow and contribute in a dynamic environment.

Benefits

Bonus

Equity

Comprehensive Benefits

Qualifications

• 3+ years of experience using analytics to solve problems and coding.
• Master's or PhD in a quantitative field is required.

Responsibilities

• Collaborate with stakeholders to clarify business questions and metrics.
• Design and evaluate models to solve defined problems.

Skills

Analytics

Problem Solving

Mentoring

Statistical Analysis

Machine Learning

Experiment Design

Education

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

PhD in a related quantitative field

Tools

Python

R

SQL

Job description

corporate_fare Google place New York, NY, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum Qualifications:

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
• 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Preferred Qualifications:

• 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 a PhD degree.
• Familiarity with machine learning and experiment design principles.

About the Job:

Google’s advertising measurement team focuses on combining data at scale with formal science to make this possible. Our science helps make advertising useful and delightful to our users, and valuable and results-driven for our advertisers and publishers.

The US base salary range for this full-time position is $127,000-$187,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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.

Responsibilities:

• 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.
• 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.
• Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
• Help suggest, support and shape new data-driven advertising and marketing products in collaboration with engineering, product and customer-facing teams.
• Use causal inference methods to design and suggest experiments and new ways to establish causality, assess attribution and answer strategic questions using data.

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.

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.