Google logo
Google Verified
Internet Services, Software, AI, Cloud Computing, Hardware

Senior Business Data Scientist, Marketing Science, Measurement and Optimization

New York, NYOnsiteFull TimeSenior$163,000–$236,000 /yrPosted 1 month agoVisa sponsorship available

Is this role right for you?

Upload your resume and get a skill-by-skill breakdown — see exactly where you match, where you're close, and what to highlight. Not a mystery percentage.

Get a tailored resume highlighting what this role needs.

Required skills

  • quantitative discipline
  • Statistics
  • Sciences
  • analytics
  • product problems
  • business problems
  • querying databases
  • statistical analysis
  • causal inference
  • A/B testing

Nice to have

  • automated analytics pipelines
  • audience segmentation
  • propensity modeling
  • Bayesian approaches
  • modeling frameworks
  • practical solutions

Role summary

Google is seeking a Senior Business Data Scientist for its Marketing Science team, focusing on Measurement and Optimization. This role involves using advanced analytics, data science, and statistical modeling to solve complex marketing challenges. You will drive measurement and analytics programs, focusing on the incremental impact of marketing spend. Responsibilities include defining problems, developing metrics, extracting data, communicating insights, and guiding implementation. The role requires expertise in causal inference, A/B testing, statistical modeling, machine learning, and various marketing analytics methodologies like MMM and Brand lift. The ideal candidate has a Master's degree in a quantitative field and 4+ years of relevant experience.

Minimum qualifications:

  • Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
  • 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
  • Experience in causal inference, A/B testing, statistical modeling, or machine learning.

Preferred qualifications:

  • 6 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
  • Experience in campaign brand or conversion lift measurement and using analytical insights to guide media and marketing planning, or working with digital marketing: performance incrementality geo experiments (match market tests).
  • Experience delivering analysis, fully automated analytics pipelines or audience segmentation and propensity modeling.
  • Understanding of Bayesian approaches and modeling frameworks.
  • Ability to generate practical solutions for marketing analytics problems and use results to drive business change in partnership with cross-functional stakeholders.

About the job:

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.

Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental.

In this role you will drive key measurement and analytics programs that deliver a scaled impact for Google Marketing across media campaigns.

You will play a strategic and technical role in driving all things marketing analytics, with a strong focus on the incremental impact of marketing dollars.

Define problems, develop metrics, extract data and communicate results into recommendations that enable decision-making and drive business impact. You will own measurement and define milestones, provide direction for agencies/vendors, delegate, prioritize, plan, and direct a group of people to drive the project to completion.

You will be seen as an expert within our team on all things that relate to media and marketing incrementality, MMMs, MMTs and digital measurement methodologies such as Channel level experiments and Brand lift tools. You will maintain global consistency, while keeping regional focus.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

  • Provide support in media and marketing measurement and optimization that require expertise in advanced analytics work, with special focus on applying data science to marketing analysis approaches.
  • Drive advanced analytics work including experimentation, measurement and modeling.
  • Identify patterns and behaviors that are effective predictors of performance and critical drivers for a successful media and marketing plan.
  • Develop evaluation frameworks for large-scale models, new metrics, and investigate anomalies. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods.
Ready to apply?
You'll be redirected to Google's application page.

Similar roles

See how RiseMe works

Match, tailor, and prep so you send fewer applications and land more interviews.