Data Science Manager, Marketing

Google Inc.; City of Westminster; On-site; GBP 120,000 - 170,000; Full time

Job summary

Google is seeking a Data Science Manager within the Marketing Media Lab to translate business problems into investigative analytics and to guide a team in implementing data science solutions. You will lead projects, develop metrics, build models, and communicate recommendations to senior executives.

You will partner with cross-functional teams to drive data collection, insight generation, and impact assessment, fostering knowledge sharing and talent development in a fast-paced environment.

Qualifications

• A Master's degree in a quantitative discipline (Statistics, Engineering, Sciences, or equivalent practical experience).
• 7+ years of analytics experience solving product/business problems, with coding in Python, R or SQL and data querying.

Responsibilities

• Provide support in media strategy, measurement and optimization using advanced analytics for marketing analytics methods and data science.
• Partner with internal teams in analytics work including experimentation, measurement and modeling to identify predictors of performance and drivers for media plans.
• Deliver a data-driven audience strategy to build, test, and optimize marketing results.
• Lead and develop the team with roadmapping, prioritization, coaching and performance management.

Skills

Analytics leadership

Experiment design

Root cause analysis

Marketing analytics

Bayesian modeling

Cross-functional collaboration

Education

Master's degree in quantitative field

Tools

Python

R

SQL

Job description

• 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.

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.

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.

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. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.