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Job Type
Full Time -
Experience
2-4 year -
Salary
$160,000 - $240,000 / Year -
Location
Mountain View, CA, USA -
Job Function
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Industry
Information Technology -
Qualification
Key Skills
Python Programming, SQL, TensorFlow, AI technology, Data Analytics, R Programming, Statistics, Mathematics
Job Description
Minimum qualifications:
- Master's degree in a quantitative discipline (e.g., Statistics, Economics) or equivalent practical experience.
- 8 years of experience supporting tech industry products as a Statistician, Data Scientist, or Product Analyst, or related field.
- 5 years of experience in people management or leadership.
- Experience with statistical software (e.g., R, Python, MATLAB, PANDAS) and database languages.
Preferred qualifications:
- PhD in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering).
- 12 years of tech industry work experience as a statistician, bioinformatician, or data scientist.
- Experience articulating business questions and using mathematical techniques to arrive at an answer using available data.
- Experience in statistical data analysis, such as linear models, multivariate analysis, stochastic models, and sampling methods.
- Ability to select the right statistical tools given a data analysis problem.
About the job
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 excellence 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.
Search changed the internet by bringing the world's information to people's fingertips. To continue making information universally accessible and useful, we must continue to meet the evolving needs of our users. There are many questions for us to answer, and as Data Scientist Managaer you will frame these questions (as well as solutions) in the form of metrics, identify opportunities to inform the strategy, and support the execution.
With your leadership and professional expertise, you will manage a team of Data Science managers and individual contributors, plan project goals, and lead the overall strategy for your group. You are a recognized authority in your functional area and develop, organize, and launch projects that span engineering and analysis.
Responsibilities
- Manage a team of Data Science managers and individual contributors, and interact cross-functionally with a variety of leaders, teams, Engineers, and Product Managers to identify opportunities for design and assess improvements for Google products.
- Work with large datasets and solve difficult analysis problems and apply advanced analytical methods. Conduct analyses, data gathering, requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of Google data structures and metrics by advocating for changes for product development and business activity.
- Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
- Research and develop analyses/forecasting and optimization methods across ads quality, search quality, end-user behavioral modeling, and live experiments.
Company Info.
GoogleGoogle LLC is a multinational technology company headquartered in the United States that specializes in various fields, including search engine technology, cloud computing, online advertising, quantum computing, e-commerce, computer software, artificial intelligence, and consumer electronics. With its market dominance, data collection, and technological advancements in AI.
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IndustryE-commerce,Artificial intelligence,Internet services,Cloud computing,Computer software,Advertising,Computer hardware,Consumer electronics
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No. of Employees139,995
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Location1600 Amphitheatre Parkway, Mountain View, CA 94043, USA
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Website
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Jobs Posted
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GoogleToronto, ON, Canada; Waterloo, ON, Canada
6-8 year
Technical Program Manager III, Conversational AI, Google Cloud
GoogleNew York, NY, USA; Cambridge, MA, USA
6-8 year
Customer Engineer, AI/ML, Gaming, Google Cloud
GoogleAddison, TX, USA; Austin, TX, USA; New York, NY, USA; San Francisco, CA, USA
2-4 year
Staff Software Engineer, Machine Learning, Google Pixel Watch
GoogleMountain View, CA, USA; San Diego, CA, USA
8-10 year
Marketing Data Scientist
GoogleNew York, NY, USA; San Francisco, CA, USA; Chicago, IL, USA; Ann Arbor, MI, USA
4-6 year
Principal, Generative AI, Trust and Safety
GoogleHyderabad, Telangana, India; Bangalore, Karnataka, India
10-12 year
AI/ML Field Solutions Architect
GoogleBangalore, Karnataka, India; Gurugram, Haryana, India; Mumbai, Maharashtra, India
4-6 year
Image Processing Machine Learning Engineer
GoogleNew Taipei, Banqiao District, New Taipei City, Taiwan
2-4 year
Data Solution Engineer, Google Cloud
GoogleAtlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; New York, NY, USA; San Francisco, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA
4-6 year
AI Engineer, Professional Services, Google Cloud
GoogleAustin, TX, USA; Chicago, IL, USA; Dallas, TX, USA; Kansas City, MO, USA; Los Angeles, CA, USA; New York, NY, USA; Reston, VA, USA; San Francisco, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA
4-6 year
Software Engineer, Early Career, Campus
GoogleCambridge, MA, USA; Durham, NC, USA; Mountain View, CA, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; San Bruno, CA, USA; Seattle, WA, USA
0-2 year
Associate Commercial Counsel, AI Research
GoogleAtlanta, GA, USA; Chicago, IL, USA; Los Angeles, CA, USA; Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA; Seattle, WA, USA; Washington D.C., DC, USA
4-6 year
Sales Engineer, Machine Learning, Google Cloud
GoogleAtlanta, GA, USA; New York, NY, USA; Salt Lake City, UT, USA; San Diego, CA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA; Tennessee, USA
0-2 year
Senior Staff Data Scientist
GoogleLos Angeles, CA, USA; Mountain View, CA, USA; New York, NY, USA; San Diego, CA, USA; Sunnyvale, CA, USA
12-14 year
Software Engineer III, Computer Vision/Infrastructure, AR
GoogleLos Angeles, CA, USA; Mountain View, CA, USA; New York, NY, USA; Seattle, WA, USA; United States
0-2 year
Data Scientist, Ads Marketing Analytics
GoogleChicago, IL, USA; Los Angeles, CA, USA; Mountain View, CA, USA; New York, NY, USA; Redwood City, CA, USA; San Francisco, CA, USA
2-4 year
Cloud Engineer, AI/ML
GoogleBangalore, Karnataka, India; Gurugram, Haryana, India; Hyderabad, Telangana, India; Pune, Maharashtra, India
4-6 year
Technical Program Manager III, Generative AI, Search
GoogleCambridge, MA, USA; Mountain View, CA, USA; New York, NY, USA; Sunnyvale, CA, USA
6-8 year
Data Analytics Apprenticeship, March or June 2024 Start
GoogleBangalore, Karnataka, India; Gurgaon, Haryana, India; Hyderabad, Telangana, India; Mumbai, Maharashtra, India
0-2 year
Open Source Lead, Staff Software Engineer, Quantum AI
GoogleGoleta, CA, USA; Los Angeles, CA, USA; Mountain View, CA, USA; Seattle, WA, USA
6-8 year
Research Scientist, Machine Learning, Computational Photography
GoogleHaifa, Israel; Tel Aviv, Israel
4-6 year
Machine Learning Software Engineer, Silicon
GoogleMountain View, CA, USA; San Diego, CA, USA
12-14 year
Product Manager, AI Imagery, Google Research
GoogleCambridge, MA, USA; Mountain View, CA, USA; New York, NY, USA
4-6 year
Group Product Manager, AI/ML, Qwiklabs, Google Cloud
GoogleCambridge, MA, USA; Mountain View, CA, USA; New York, NY, USA
10-12 year
Business Data Scientist, Natural Language Specialist
GoogleMountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA
2-4 year
Business Data Scientist, Ads Marketing Analytics
GoogleMountain View, CA, USA; New York, NY, USA; Redwood City, CA, USA; San Francisco, CA, USA
2-4 year