Data Scientist III, Product, Search Ads

Google Inc.; New York (NY); On-site; USD 132,000 - 189,000; Full time

Job summary

An established industry player is seeking a Data Scientist to support its global user base. In this role, you will leverage your expertise in statistical analysis and data mining to drive product improvements and provide strategic insights. Collaborating with cross-functional teams, you will analyze user behaviors and develop models to enhance product offerings. This full-time position offers a competitive salary, bonuses, and equity, making it an exciting opportunity for data enthusiasts eager to make impactful contributions in a dynamic environment.

Qualifications

• 5 years of experience with statistical data analysis and data mining.
• Experience managing analytical projects and providing insights.

Responsibilities

• Perform analysis using SQL, R, and Python to support product development.
• Translate analysis into insights or product opportunities.

Skills

Statistical Data Analysis

Data Mining

SQL

Scripting (R, Stata, SPSS, SAS)

Analytical Project Management

Education

Master's degree in Statistics, Economics, Engineering, Mathematics

Tools

SQL

R

Python

Job description

corporate_fare Google place New York, NY, USA

Mid

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

Apply

• link Copy link

• Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
• 5 years of experience with statistical data analysis, data mining, and querying (e.g., SQL).
• 1 year of experience in managing analytical projects.

Preferred qualifications:

• 3 years of experience in scripting, statistical analysis (e.g., R, Stata, SPSS, SAS), developing and managing metrics, and evaluating programs/products.

Experience in identifying opportunities for product improvement and defining/measuring the success of those initiatives.

• Experience with Engineers and Product Managers, providing product-centric insights, extracting data with SQL, and designing Extract, Transform, and Load (ETL) flows.
• Experience analyzing user behaviors in consumer apps and linking those behaviors to business outcomes.
• Experience developing models (e.g., statistical and causal inference, classification methods).

About the job

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding, and a strategic perspective to our partners throughout the organization. As a data-loving team member, you serve as an analytics expert, using numbers to help make better decisions. You will weave stories with meaningful insights from data and make critical recommendations for your colleagues in Engineering and Product Management. You enjoy tallying numbers and communicating findings effectively.

In this role, you will support SAGE (Search Ads and Google Experience) in developing key ad products at Google, from classic text ads to shopping ads and new products like DemandGen ads.

The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Salaries are role, level, and location-dependent. Individual pay within this range considers work location, skills, experience, and education. Your recruiter can provide specific salary details during the hiring process.

Responsibilities

• Perform analysis using tools like SQL, R, Python, and leverage data infrastructure or models.
• Report KPIs to support business reviews with leadership, translating analysis into insights or product opportunities.
• Provide insights and recommendations to influence product development.
• Build and prototype analyses and business cases, developing knowledge of Google data structures and metrics.
• Partner with Product, Engineering, and cross-functional teams to influence product strategy and identify new development opportunities.

Google is committed to equal opportunity employment, fostering a diverse and inclusive workforce. We prohibit discrimination based on race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or related conditions. For more information, see Google's EEO Policy and related resources.

English proficiency is required for all roles to facilitate global collaboration. Google does not accept agency resumes and is not responsible for fees related to unsolicited resumes.