Data Science Manager, Marketing

Google; Greater London; On-site; GBP 150,000 - 190,000; Full time

Job summary

Google is seeking a Data Science Manager in the Marketing Media Lab to lead analytics-driven projects that translate business questions into actionable insights at a global scale.

You will guide a team to develop metrics, build models, and foster knowledge sharing while partnering with internal teams to drive media strategy and investments.

Qualifications

• Master's degree in a quantitative field or equivalent practical experience.
• 7 years of experience using analytics to solve product or business problems, coding (Python, R, SQL) and querying databases or performing statistical analysis.

Responsibilities

• Provide support in media strategy, measurement and optimization using advanced analytics in marketing analytics methods.
• Collaborate with internal teams on experimentation, measurement and modeling to identify predictors of performance.
• Deliver data-driven, people-based marketing insights to build and test audiences for business results.
• Scope and deliver strategic initiatives driving marketing data pipelines and digital marketing data.
• Lead and develop the team, roadmapping, coaching and performance management.

Skills

Analytics

Python

R

SQL

Statistical analysis

Education

Master's degree

Job description

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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .