Business Data Scientist, Global Ads, Marketing, Data Solutions - Google : Job Details

Business Data Scientist, Global Ads, Marketing, Data Solutions

Company: Google

Location: Los Angeles, CA, USA or Playa Vista, CA

Mid-Level Experience

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 a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.

Preferred Qualifications:

• Experience in Performance Marketing.
• Experience and comfort with engineering best practices, including developing BRDs/PRDs/Design Docs, code reviews, etc., ensuring analytical excellence.
• Proven ability to translate ambiguous business needs into clear technical requirements for impactful data products.
• Excellent presentation skills, able to convey complex technical solutions and analysis to senior stakeholders.
• Excellent project management skills, adept at managing multiple projects concurrently under tight deadlines in a fast-paced environment.
• Exceptional problem-solving skills, adept at synthesizing data into actionable insights and communicating them effectively.

About the Job:

As a Quantitative Analyst, you will be responsible for analyzing large data sets and building expert systems that improve our understanding of the Web and improve the performance of our products. This effort includes performing complex statistical analysis on non-routine problems and working with engineers to embed models into production systems. You will manage fast changing business priorities and interface with product managers and engineers.

Data Scientists within the Marketing Technology and Operations team leverage data to drive strategic decision-making and optimize business processes for ads marketing teams. They are responsible for building data pipelines, developing machine learning models for personalization, and creating solutions to deliver personalized marketing content. This involves analyzing large datasets to understand user behavior, campaign performance, and product adoption trends.

In this role, you will leverage your expertise in data analysis, visualization, and machine learning to drive ads business growth. You will be responsible for analyzing user behavior, building data pipelines and models that enable personalization and marketing content creation, and developing data solutions that tailor the advertiser experience.

Responsibilities:

• Designing and implementing robust data pipelines to collect, process, and transform data from various sources.
• Developing and deploying machine learning models for user segmentation, behavior prediction, and content recommendation.
• Collaborating with cross-functional teams to integrate personalized experiences into marketing surfaces.
• Analyzing the impact of personalization efforts and iterating on models and strategies.
• Clearly communicate findings through compelling presentations and visualizations, enabling stakeholders to make informed decisions about website improvements and marketing strategies.

Compensation:

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.

Equal Opportunity Employer:

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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