Business and Marketing Data Scientist

Google Inc.; Seattle (WA); Hybrid; USD 197,000 - 237,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid time off

Sick time (Seattle)

Maternity leave

Holiday pay

Job summary

Google is seeking a Share Business and Marketing Data Scientist in Seattle to turn ambiguous business questions into actionable analytics and collaborate with cross-functional teams. You will mentor junior teammates and drive analytical initiatives across marketing and business operations.

The role reports to the Global Business Organization, with a base salary range of $196,920-$237,000, plus a 15% target bonus, equity, and comprehensive benefits. A hybrid schedule may be available per policy.

Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics or a related field with 6 years of progressive, post-baccalaureate experience in the job offered or in a Business Data Science-related occupation.
• Alternatively, Master’s degree in Data Science, Statistics, Computer Science, Mathematics or a related field, and 4 years of experience in the job offered or in a Business Data Science-related occupation.
• Position requires 4 years of experience in framing ambiguous business problems into tractable quantitative problems; application of quantitative methods such as statistical and optimization models; data extraction, manipulation, and cleaning for analysis; Python or R for statistical analysis and implementing algorithms; and presenting and defending data-driven solutions to senior leadership.

Responsibilities

• Collaborate with stakeholders to translate business goals into tractable analytical questions, defining requirements and roadmaps.
• Drive outcomes for a project as a key contributor by providing analytical solution strategy and troubleshooting expertise.
• Generate ideas required to solve analytical problems with multiple approaches to reach an optimal solution, even if the problem is ambiguous by taking full ownership of the solution, often involving activities beyond analysis and coding.
• Build new processes, procedures, methods, tests, and models with foresight to anticipate and address future business problems. Act as subject matter specialist for analytical insights and solutions within a domain such as large-scale operations, marketing analytics, statistical modeling, forecasting, or optimization.
• Utilize comprehensive knowledge of data structures, Google’s platforms, and data science methods to deploy analytical solutions and recommendations, acting as a “go-to” person. Influence across their own team to help them understand the supported stakeholder and their business goals and priorities.

Skills

Framing problems

Statistical methods

Python/R

Data cleaning

Leadership/ mentoring

Education

Bachelor’s degree + 6 years experience

Master’s degree + 4 years experience

Tools

Python

R

SQL

Job description

Share Business and Marketing Data Scientist

Google Seattle, WA, USA

Mid

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

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics or a related field and 6 years of progressive, post-baccalaureate experience in the job offered or in a Business Data Science-related occupation.
• Alternatively, will accept a Master’s degree in Data Science, Statistics, Computer Science, Mathematics or a related field, and 4 years of experience in the job offered or in a Business Data Science-related occupation.
• Position requires 4 years of experience in the following: Framing ambiguous business problems into tractable quantitative problems; Application of quantitative methods such as statistical and optimization; models to solve complex problems; Data extraction, manipulation, and cleaning for analysis; Python or R for statistical analysis and implementing algorithms; and Presenting and defending data-driven solutions to senior leadership.

About the job

The Global Business Organization (GBO) is the engine that powers Google’s full ecosystem of products and services to help customers and partners succeed and grow. GBO includes the commercial arms of Ads sellers, business development teams, and customer services and support, as well as overlay programs that enable coordinated engagement with Google's most complex and important customers and partners.

The US base salary range for this full-time position is $196,920 - $237,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google.

Position reports to the Google Seattle, WA office & may allow for a hybrid schedule as per Google policy.

Responsibilities

• Collaborate with stakeholders to translate business goals into tractable analytical questions, defining requirements and roadmaps.
• Drive outcomes for a project as a key contributor by providing analytical solution strategy and troubleshooting expertise.
• Generate ideas required to solve analytical problems with multiple approaches to reach an optimal solution, even if the problem is ambiguous by taking full ownership of the solution, often involving activities beyond analysis and coding.
• Build new processes, procedures, methods, tests, and models with foresight to anticipate and address future business problems. Act as subject matter specialist for analytical insights and solutions within a domain such as large-scale operations, marketing analytics, statistical modeling, forecasting, or optimization.
• Utilize comprehensive knowledge of data structures, Google’s platforms, and data science methods to deploy analytical solutions and recommendations, acting as a “go-to” person. Influence across their own team to help them understand the supported stakeholder and their business goals and priorities.

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.