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Job Type
Full Time -
Experience
2-4 year -
Salary
$127,000 - $187,000 / Year -
Location
Mountain View, CA, USA
New York, NY, USA
Redwood City, CA, USA
San Francisco, CA, USA -
Job Function
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Industry
Information Technology -
Qualification
Key Skills
Advanced Analytics, Analytical and Problem solving, Apache Hadoop, Bioinformatics, Causal inference, Cloud computing, Clustering, Core Data, Cost control, Data Analysis, Data Analytics, Data Modeling, Data pipelines, Data science techniques, Data structuring, Data Visualization, Database, Design of Experiment, Digital Marketing, Digital Marketing/Sales, Effective communication skills, Environmental, Forecasting, Framework, Functional testing, Generalization, Google Products, Growth Analytics, HTTP acceleration, Large data sets, Large scale data processing, Leadership, Linear Models, Machine Comprehension, Machine learning techniques, MapReduce, Marketing analytics, Mathematics, MATLAB Programming, Multivariate analysis, Online Advertising technologies, Presentation skills, Product Management, Prototypes, Python Programming, Quantitative models, R Programming, Recommendation Systems, Sales, Sampling methods, Software Development, SQL, Statistics, Text segmentation
Job Description
Minimum qualifications:
- Master's degree in Statistics, Mathematics, Bioinformatics, Economics, a related field, or equivalent practical experience.
- 2 years of experience in a data science field.
- Experience with statistical software (e.g., R, Python, MATLAB) and database languages (i.e., SQL).
- Experience leveraging data insights into storytelling for business stakeholders.
Preferred qualifications:
- PhD in Statistics or a related field.
- 2 years of experience with statistical data analysis such as generalized linear models, multivariate analysis, clustering/segmentation, and sampling methods.
- Experience with machine learning on large-scale computing systems like Hadoop, MapReduce, or similar environments.
- Experience in controlled experiment design and causal inference methods.
- Ability to prioritize requests and partner well in an environment with competing demands from stakeholders.
- Excellent communication skills.
About the job
Google Ads Marketing aims to help advertisers of all sizes succeed with digital marketing. As a Business Data Scientist, you will work with a team to advance the science of Marketing to customers that use Google’s advertising solutions. This is a unique opportunity to apply the tools of Data Science to accelerate Ads business growth, working cross-functionally with Sales, Marketing, and Product teams. You will perform data analytics, drive initiatives in experimentation, measurement, and advance machine learning modeling capability to support global marketing programs. In collaboration with a multidisciplinary team of Marketing, Product Management, Data Scientists, and Engineers, you will tap into the underlying data, develop and align on key metrics/methodologies, and generate insights that enable marketers to develop powerful, highly effective marketing programs.
In this role, you will leverage core Data Science expertise to design, prototype, and build out analysis pipelines to support initiatives and Marketing campaigns at scale. You'll perform analytics, design and execute on experimentation, and conduct incremental measurement analysis to inform strategic decisions of the marketing programs across the entire Ads Marketing space, from acquisition, onboarding, growth, and retention. You will build investigative frameworks and measurement capabilities to generate data driven insights that drive business growth. You will present and communicate effectively to marketing partners and leadership, data-driven insights and analytic results to inform on decision making.
The US base salary range for this full-time position is $127,000-$187,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Work with large, complex data sets. Solve complex analysis problems, applying advanced problem-solving methods (such as statistical and machine learning models) as needed. Conduct analysis that includes problem formulation, data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Design and analyze controlled experiments or counterfactual causal inference studies to examine the incremental impact of Ads marketing programs.
- Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed.
- Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
- Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for business priorities.
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 Business Data Scientist Jobs in Mountain View, CA, USA; New York, NY, USA; Redwood City, CA, USA; San Francisco, CA, USA with average base salary of $127,000 - $187,000 / Year.
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GoogleAustin, TX, USA; New York, NY, USA; Seattle, WA, USA; Sunnyvale, CA, USA
8-10 year
People Analytics Researcher, Hiring Selection and Assessment
GoogleAtlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA
2-4 year
Program Manager, Small/Medium Business, Google Workspace
GoogleAtlanta, GA, USA; Austin, TX, USA; New York, NY, USA; San Francisco, CA, USA
6-8 year
Manager, AI Policy, Government Affairs and Public Policy
GoogleMountain View, CA, USA; San Francisco, CA, USA; Washington D.C., DC, USA
6-8 year
Technical Program Manager III, Conversational AI, Google Cloud
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
Compliance Business Analytics Manager, Trust and Safety, YouTube
GoogleMountain View, CA, USA; Seattle, WA, USA
6-8 year
Staff Software Engineer, High Performance Computing, Google Cloud
GoogleSunnyvale, CA, USA
8-10 year
Customer Engineer, Business Intelligence, Google Cloud
GoogleBeijing, China; Shanghai, China; Shenzhen, Guangdong Province, China
8-10 year
Partner Engineer Specialist, Machine Learning and Artificial Intelligence
GoogleSingapore
10-12 year
Technical Program Manager, Evals (Mountain View or New York)
Google DeepMindMountain View, CA, USA
4-6 year
Funnel and Pipeline Analytics Manager, Google Cloud, Marketing
GoogleKirkland, WA, USA; New York, NY, USA; San Francisco, CA, USA; Sunnyvale, CA, USA
2-4 year
Sales Engineer, Application Modernization, Google Cloud
GoogleBerlin, Germany; Frankfurt, Germany; Hamburg, Germany; Munich, Germany
2-4 year
Head of Social Science
GoogleLos Angeles, CA, USA; New York, NY, USA; Portland, OR, USA; San Francisco, CA, USA
10-12 year
Qualitative User Experience Researcher, Early Career 2024
GoogleCambridge, MA, USA; New York, NY, USA; San Francisco, CA, USA; Sunnyvale, CA, USA
0-2 year
Emerging Partnerships Lead, Generative AI
GoogleSan Francisco, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA
8-10 year
Student Researcher, PhD, Winter/Summer 2024
GoogleWaterloo, ON, Canada; Montreal, QC, Canada; Toronto, ON, Canada
0-2 year
Field Solutions Developer II, Generative AI, Google Cloud
GoogleMontreal, QC, Canada; Toronto, ON, Canada; Waterloo, ON, Canada
6-8 year
Field Solutions Developer II, Generative AI, Google Cloud
GoogleAtlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Charlotte, NC, USA; Addison, TX, USA; Houston, TX, USA; Las Vegas, Nevada, USA; New York, NY, USA; Portland, OR, USA; Los Angeles, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; Salt Lake City, UT, USA; Sunnyvale, CA, USA
6-8 year
Field Solutions Developer III, Generative AI, Google Cloud
GoogleAtlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Charlotte, NC, USA; Addison, TX, USA; Houston, TX, USA; Las Vegas, Nevada, USA; New York, NY, USA; Portland, OR, USA; Los Angeles, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; Salt Lake City, UT, USA; Sunnyvale, CA, USA
8-10 year
Field Solutions Developer III, Generative AI, Google Cloud
GoogleMontreal, QC, Canada; Toronto, ON, Canada; Waterloo, ON, Canada
8-10 year
ASIC RTL Design Engineer, ML Accelerators, University Graduate
GoogleSunnyvale, CA, USA; Madison, WI, USA
0-2 year
Field Solutions Architect, Generative AI, Google Cloud
GoogleMunich, Germany; Ludwigsfelde, Germany; Frankfurt, Germany; Hamburg, Germany
8-10 year
Cloud Technical Resident, Cloud Academy, Early Career (English, Mandarin)
GoogleTaipei, Taiwan
0-2 year
Cloud Technical Resident, Cloud Academy, Early Career (Tagalog, English)
GoogleTaguig, Metro Manila, Philippines
0-2 year
Cloud Technical Resident, Cloud Academy, Early Career (Korean, English)
GoogleSeoul, South Korea
0-2 year
Cloud Technical Resident, Cloud Academy, Early Career (English, Japanese)
GoogleTokyo, Japan
0-2 year