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Job Type
Full Time -
Experience
2-4 year -
Salary
$120,000 - $190,000 / Year -
Location
Redwood City, CA, USA -
Job Function
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Industry
Information Technology -
Qualification
Key Skills
Java Programming, Design, Python Programming, SQL, Machine learning techniques, Bayesian networks, Deep Learning, R Programming, Clustering, Data Classification, Statistical modeling, VR/AR frameworks
Job Description
Minimum qualifications:
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 3 years of experience managing data science projects in a cross-functional environment, performing statistical modeling, hypothesis testing, and experimentation.
- 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 (e.g., hypothesis testing, Design of Experiments, and Bayesian modeling) and developing Machine Learning solutions (e.g., regression, classification, clustering, and deep learning).
- Experience with and use of Statistics and Machine Learning Theory.
- Excellent written and verbal communication skills.
About the job
The Data Science team in Revenue, Strategy, and 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 GCS Sales and Marketing to increase impact and operational effectiveness across the customer journey.
The team’s 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.
As a Data Scientist for Business and Marketing, 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.
When our millions of advertisers and publishers are happy, so are we! Our Google Customer Solutions (GCS) team of entrepreneurial, enthusiastic and client-focused members are the human face of Google, helping entrepreneurs both individually and broadly build their online presence and grow their businesses. We are dedicated to growing the unique needs of advertising companies. Our teams of strategists, analysts, advisers and support specialists collaborate closely to spot and analyze customer needs and trends. In collaboration, we create and implement business plans broadly for all types of businesses.
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.
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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Google is currently hiring Data Scientist Jobs in Redwood City, CA, USA with average base salary of $120,000 - $190,000 / Year.
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6-8 year
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8-10 year
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4-6 year
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10-12 year
AI/ML Field Solutions Architect
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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
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4-6 year
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0-2 year
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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
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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