MINIMUM QUALIFICATIONS:
* Master's degree in a quantitative discipline such as Statistics, Engineering,
Sciences, or equivalent practical experience.
* 7 years of experience using analytics to solve product or business problems,
coding (e.g., Python, R, SQL), querying databases or statistical analysis.
PREFERRED QUALIFICATIONS:
* 2 years of experience managing an Analytics or Data Science team, including
prioritisation, roadmapping, coaching and performance management.
* Experiences with experimental design and supervised/unsupervised ML
approaches for regression and classification tasks.
* Experience of root cause analysis to ensure that problems are solved at both
a tactical and strategic level.
* Experience delivering marketing analytics e.g., Marketing Mix Modeling , geo
experiments, meta-analysis, 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.
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 Data Science Manager in the Marketing Media Lab team, you will lead
projects, translating business problems into investigative solutions and you
will guide your team to implement data science solutions, improve data, develop
metrics, and build models for business insights. You will also foster knowledge
sharing and develop your team's talent.
You will play a strategic and technical role in driving all things media,
marketing, analytics, and partnering with internal teams to evaluate strategic
initiatives. Using first-party and third-party data sources, you will create
innovative solutions to demonstrate the effectiveness of Google’s media
investment and the industry’s toughest issues, at a global scale.
RESPONSIBILITIES:
* Provide support in media strategy, measurement and optimization that require
expertise in advanced analytics work, with special focus on marketing
analytics methods and data science.
* Partner with internal teams in 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.
* Deliver customer-centric, data-driven approach, based on a people-based
marketing strategy to build, segment, and test audiences for best business
results.
* Partner with internal teams to scope, build and deliver strategic initiatives
driving all things marketing data, with a strong focus on digital marketing
data pipelines.
* Lead and develop the team, taking ownership of team roadmapping, initiative
prioritization, individual coaching, and ongoing performance management.
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