Google
Business Data Scientist, Marketing
Found: Today
Business Data Scientist, Marketing
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.
As a Business Data Scientist in the Marketing team, you will drive key measurement and analytics programs that deliver a scaled impact for Google Marketing across media campaigns. You will support your team by delivering pieces of project work, including supporting the implementation of data science solutions, supporting the improvement of data pipelines, running geo-experiments or Marketing Mix Models (MMM) or helping your team develop evaluation metrics that provide insights to the business. 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.
Specifically, As a Marketing Measurement Specialist, you will play a strategic and technical role in driving all things media, marketing, analytics, and partnering with internal teams to evaluate strategic initiatives. At Google-scale, this implies working on our industry’s toughest challenges. You will maintain global consistency, while keeping regional focus. This role requires working with teams operating across regions and marketing entities.
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:
- 6 years of experience delivering meta analysis, fully automated analytics pipelines or audience segmentation and propensity modeling.
- Applied knowledge of R or Python for statistical analysis and SQL.
- 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
- Use your knowledge of data analytics to use/develop solutions for marketing challenges, while also uncovering opportunities for measurement and optimization to push brand and performance marketing to the next level.
- Build measurement plans, tracking requirements, reporting, metrics and benchmarks for our largest campaigns to understand the incremental impact of our marketing dollars. (e.g., conversion lift tests, matched market analyses, and brand lift studies).
- Partner with internal teams in advanced analytics work including experimentation, measurement and modeling.
- Deliver customer-centric, data-driven approach, based on a people-based marketing strategy to build, segment, and test audiences for best business results.
- Develop/use 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.
