Business Data Scientist, Google Customer Solutions

Key Skills

Java Programming, Design of Experiment, Python Programming, SQL, Machine learning techniques, R Programming

Job Description

Minimum qualifications:

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 5 years of experience with statistical modeling, hypothesis testing, and experimentation.
• 5 years of experience developing and deploying Machine Learning models on data sets.
• 5 years of experience using SQL and programming in Python or R.

Preferred qualifications:

• PhD in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 3 years of experience applying statistical models (Hypothesis testing, Design of Experiments and Bayesian modeling) and developing Machine Learning solutions (regression, classification, clustering and deep learning).
• 3 years of experience managing data science projects in a cross-functional environment.
• Experience with and use of Statistics and Machine Learning Theory.
• Developed written and verbal communication skills.

About the job

The team responsibilities include building, testing, and scaling statistical and machine learning models that measure and amplify impact across the entire advertiser journey - from acquisition to growth and retention. The team is also responsible for the regular and ad-hoc delivery of business growth incrementality of programs, as well as the design and statistical analysis of pilot results.

The Data Science team in Revenue, Strategy & Operations (RSO) helps power Google's high growth. The team works in close partnership with several Engineering, Product and Finance teams across Google to develop and deliver machine learning and predictive analytics solutions at scale to our sales and marketing stakeholders. Our responsibilities include building recommendation engines and impact measurement tools for the GCS sales and marketing to increase impact and operational effectiveness across the customer journey.

As a Business Data Scientist, you will partner with various teams to develop statistical models, customer-level recommendations, and automated solutions, consolidating existing Google technologies and building new ones. You'll also work with others on the team to harness the power of Google’s data with machine learning to provide insights at scale that drive both long-term strategy and near-term operations for sales and marketing.

Responsibilities

• Collect, cleanse, integrate, data-mine and visualize a variety of internal and external data sources to identify opportunities and influence strategy.
• Understand business challenges, transform problems into mathematical frameworks, and communicate complex findings in a structured and clear manner to a non-technical audience.
• Design experiments, develop statistical models and build causal inference tools to measure and improve operational effectiveness.
• Build Data Science and Machine Learning frameworks and help launch them into production.
• Answer business questions through data analysis, data mining, and statistical modeling. Partner with program managers, engineers, and sales leaders to translate business insights into decisions and action.