At Google, we thrive on big data and fact based marketing. This is a global role is within the Insights & Improvements team, whose mission is to help power Google’s revenue growth by delivering actionable data driven findings to 400+ digital marketing experts in our internal Search Engine Marketing (SEM) agency, and to help our Fortune 1000 advertisers realize their marketing objectives.  - You will be the lead data scientist for SEM. Using data mining and machine learning algorithms you will 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 will be a self-starter, a pioneer who can develop in SQL, R and Python, who can consult an a AdWords product specialist and teach a fellow analyst SVM or Naive Bayes algorithms.   - You can think out of box in applying analytical models from other domains as applicable to sales and marketing.  Responsibilities:  - Build machine learning models in R to forecast sales potential; mine data to identify and prioritize opportunities that yield highest revenue gain; design studies to measure true incremental revenue impact of our strategies and analyze both experimental and observational designs.   - Build predictive analytics models that identify trends in advertiser performance. Partner with software engineers to deploy these models in a production system at scale. Perform ad-hoc analysis to reveal revenue and performance risks. Communicate findings, and build strategies to mitigate revenue 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.   Minimum qualifications:  - Bachelor’s degree with quantitative focus (econometrics, statistics, computer science, mathematics or related subjects).   - 3+ years 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:  - Masters 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.  - 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”.  - Proven track record of thought leadership in applying data driven models that had a tangible impact on sales 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 into plain english. Ability to perform in ambiguity, work with multiple global stakeholders.

Hyderabad

Google - Data Scientist - Search Engine Marketing 

Google - Data Scientist - Search Engine Marketing  ,Job Description for Google - Data Scientist - Search Engine Marketing  in  in  Hyderabad for (3-6) years of experience. Apply Now!

Job Description for Google - Data Scientist - Search Engine Marketing  in  in  Hyderabad for (3-6) years of experience. Apply Now!