Business and Marketing Data Scientist, gTech Ads (English, Spanish)

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.

The gTech Ads Marketing Data Science team helps measure and optimize marketing Return on Investment (ROI) for Google’s largest clients. We help build bespoke models that address client’s key business questions. We are multi-disciplined professionals, PhDs, statisticians, economists, engineers, and former consultants with experience in Data Science, Machine Learning and Marketing Analytics. We learn the technologies that drive Google products and bring those innovations to life in the context of specific client engagements.

We are positioned within the gTech Ads Large Customer Sales (LCS) Regional team which takes a creative, collaborative, and customer-centric approach to provide consulting and solutions to advertisers and agency partners. Through technical implementation, optimization, and engineering solutions, gTech Professional Services helps customers achieve their business goals while building long-term tech and marketing capabilities.

Responsibilities

• Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management leveraging Machine Learning (ML) and statistics.
• Collaborate with customers to unpack their problems and identify the best statistical techniques that can solve the problem; own the development of a modeling framework.
• Engage important stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a larger solution.
• Work with customers and internal teams to translate data and model results into tactical insights that are actionable for decision-making. Co-present to and work with clients to integrate recommendations into business processes.
• Collaborate with Product/Engineering teams to increase and optimize capabilities of our Applied data science team, employing methods which create opportunities for scale, proactively helping to drive innovation.

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.
  
• Ability to communicate in English and Spanish fluently to interact with local stakeholders.

Preferred qualifications:

• 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 with statistical and quantitative modeling and forecasting.
• Experience with machine learning techniques.
• Experience in data extraction, analysis, and reporting.
• Experience in Data Analysis, Machine Learning, and A/B Testing.