Business Data Scientist, Marketing

Google•Mountain View, CA

10h•$138,000 - $198,000

About The Position

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. 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. On a more day to day basis 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. You'll 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. As a Marketing Analyst you will be seen as an expert within our team on all things that relate to media 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.

Requirements

Master's degree in a quantitative discipline such as Mathematics, Economics, 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 and doing statistical analysis.
Experience in causal inference, A/B testing, statistical modeling, or machine learning.
Experience in campaign brand or conversion lift measurement and using analytical insights to guide media planning or experience working in digital marketing: performance incrementality geo experiments (match market tests).

Nice To Haves

4 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.
Experience delivering meta analysis, fully automated analytics pipelines or audience segmentation and propensity modeling.
Understanding of Bayesian approaches and modeling frameworks.
Proven ability to generate practical solutions for marketing analytics problems and use results to drive business change in partnership with cross-functional stakeholders.

Responsibilities

Provide support in media strategy, measurement and optimization that requires expertise in advanced analytics work, with special focus on applying data science to marketing and meta 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 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.