At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical rigor and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.
At Google, we thrive on big data and fact based marketing. This is a global role within the Insights and Improvements team, whose mission is to help power Google’s business growth by delivering actionable data driven findings to digital marketing experts in our internal Search Engine Marketing (SEM) agency, and to help our advertisers realize their marketing objectives.
As the lead Data Scientist for SEM, you will using data mining and machine learning algorithms to help track advertisers’ search performance trends, and at scale, identify intervention opportunities in terms of optimizing SEM strategies for our advertisers. You will partner with functional teams like program management, sales, operations and product management teams to measure statistically robust impact of our global initiatives. You are a pioneer who can develop in SQL, R and Python, who can consult as an AdWords product specialist and teach a fellow analyst SVM or Naive Bayes algorithms. You can think outside the box in applying analytical models from other domains as applicable to sales and marketing.
Responsibilities
* Build machine learning models in R to forecast business potential; mine data to identify and prioritize opportunities that yield highest business growth gain.
* Build predictive analytics models that identify trends in advertiser performance, and partner with software engineers to deploy these models in a production system at scale. Perform ad-hoc analysis to reveal business growth and performance risks. Communicate findings, and build strategies to mitigate business growth gaps.
* Provide statistical and Machine Learning leadership to the internal teams.
* Develop reports, build dashboards to provide insights at scale, support analytical requests from global sales leadership.
* Design studies to measure the business growth impact of our strategies, and analyze both experimental and observational designs.
Minimum qualifications
* Bachelor’s degree with quantitative focus in Econometrics, Statistics, Computer Science, Mathematics or related field, or equivalent practical experience.
* 3 years of work experience in Statistical Modeling and/or Machine Learning tools (R, Python etc.) and in using various database query tools (e.g. Hadoop, SQL) processing large volumes of unstructured data.
Preferred qualifications
* Master's degree in Econometrics, Statistics, Computer science, Mathematics, Business or related fields.
* 3 years of relevant work experience in management consulting, digital marketing agencies or analytics organizations.
* Proven track record of thought leadership in applying data driven models that had a tangible impact on business across global markets.
* Strong project management skills; ability to handle multiple projects simultaneously and to tight, changing deadlines in a high paced and dynamic environment.
* Strong collaboration skills. Good written and verbal communication skills, can simplify complex ideas. Ability to perform in ambiguity, work with multiple global stakeholders.
* Outstanding problem solving and structuring skills; ability to mine large datasets and surface actionable insights. Attention to detail yet able to understand and articulate the “big picture”.
At Google, we thrive on big data and fact based marketing. This is a global role within the Insights and Improvements team, whose mission is to help power Google’s business growth by delivering actionable data driven findings to digital marketing experts in our internal Search Engine Marketing (SEM) agency, and to help our advertisers realize their marketing objectives.
As the lead Data Scientist for SEM, you will using data mining and machine learning algorithms to help track advertisers’ search performance trends, and at scale, identify intervention opportunities in terms of optimizing SEM strategies for our advertisers. You will partner with functional teams like program management, sales, operations and product management teams to measure statistically robust impact of our global initiatives. You are a pioneer who can develop in SQL, R and Python, who can consult as an AdWords product specialist and teach a fellow analyst SVM or Naive Bayes algorithms. You can think outside the box in applying analytical models from other domains as applicable to sales and marketing.
Responsibilities
* Build machine learning models in R to forecast business potential; mine data to identify and prioritize opportunities that yield highest business growth gain.
* Build predictive analytics models that identify trends in advertiser performance, and partner with software engineers to deploy these models in a production system at scale. Perform ad-hoc analysis to reveal business growth and performance risks. Communicate findings, and build strategies to mitigate business growth gaps.
* Provide statistical and Machine Learning leadership to the internal teams.
* Develop reports, build dashboards to provide insights at scale, support analytical requests from global sales leadership.
* Design studies to measure the business growth impact of our strategies, and analyze both experimental and observational designs.
Minimum qualifications
* Bachelor’s degree with quantitative focus in Econometrics, Statistics, Computer Science, Mathematics or related field, or equivalent practical experience.
* 3 years of work experience in Statistical Modeling and/or Machine Learning tools (R, Python etc.) and in using various database query tools (e.g. Hadoop, SQL) processing large volumes of unstructured data.
Preferred qualifications
* Master's degree in Econometrics, Statistics, Computer science, Mathematics, Business or related fields.
* 3 years of relevant work experience in management consulting, digital marketing agencies or analytics organizations.
* Proven track record of thought leadership in applying data driven models that had a tangible impact on business across global markets.
* Strong project management skills; ability to handle multiple projects simultaneously and to tight, changing deadlines in a high paced and dynamic environment.
* Strong collaboration skills. Good written and verbal communication skills, can simplify complex ideas. Ability to perform in ambiguity, work with multiple global stakeholders.
* Outstanding problem solving and structuring skills; ability to mine large datasets and surface actionable insights. Attention to detail yet able to understand and articulate the “big picture”.
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