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Job Type
Full Time -
Experience
2-4 year -
Salary
$120,000 - $190,000 / Year -
Location
New York, NY, USA -
Job Function
-
Industry
Information Technology -
Qualification
Key Skills
JavaScript, Java Programming, Python Programming, SQL, R Programming
Job Description
Minimum qualifications:
- Bachelor's degree in Economics, Statistics, Computer Science, Finance, Mathematics, a related field, or equivalent practical experience
- 3 years of experience in a data analysis related field (e.g., business intelligence, data scientist, quantitative analyst)
- Experience in language for statistical computing (e.g., R, Python) and/or Javascript
- Experience in data visualization tool and research platforms
Preferred qualifications:
- Master's degree in Economics, Statistics, Computer Science, Finance, Mathematics, or related fields
- Experience presenting complex scenario analysis to management/executives
- Experience developing, running, and working with production-level machine learning applications in Colab
- Ability to communicate complex findings in a structured and concise manner to a non-technical audience with excellent written and verbal communication skills
- Ability to operate effectively and flexibly in a fast-paced and ambiguous environment
About the job
The Central Analytics and Governance team (e.g., Cloud Finance Business Intelligence) supports the broader Cloud Finance organization under the Business Finance Officer and Google Cloud leadership. Our team owns the long-term Financial Reporting Strategy roadmap, and works with the Finance Transformation Office and Engineering partners to build stable financial reporting, advanced analytics and modeling, as well as automation tools, with the goal of producing accurate financials, enabling decision intelligence and reducing the reporting burden on analysts.
We control the Google Cloud profit and loss; drive modeling, forecasting, and automation efforts and lead data science initiatives to advise on optimal money and HC resource allocation and drive accountability. Our deep business knowledge, data mastery, and keen insight allow us to be integral partners and strategic advisers to the Google Cloud leadership team. Our reporting and analytics suites are used by users daily across Google Cloud, TI, and Google Cloud Finance organizations.
In this role, you will help shape how Finance partners with key Google Cloud executives and drives margin accountability. You will have opportunities to lead and contribute to high-visibility, high-impact projects with exposure to vice president-level executives.
The name Google came from googol, a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business.
Responsibilities
- Design, build, launch, and optimize analytical/simulation frameworks, pipelines, dashboards, and business intelligence solutions spanning ETL and storage and visualization layers.
- Devise and run financial models, scenario analyses, and driver-based simulations
- Provide analytical decision making support on profit and loss items, strategic projects, and ad hoc executive requests through advanced analytics, modeling, and probabilistic simulations.
- Support machine learning scientists on performing exploratory data analysis for feature engineering, and analyzing model outputs and relationship with features for model performance improvement. Work with machine learning scientists to improve usability and interpretability of existing machine learning models through the design of appropriate metrics, visualizations, and alerting systems.
- Engage broadly with Go-to-Market, Product, and strategic Finance, to identify, prioritize, frame, and structure complex, ambiguous problems where advanced analytics projects or tools can have the biggest impact.
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, Business Intelligence Jobs in New York, NY, USA with average base salary of $120,000 - $190,000 / Year.
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2-4 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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4-6 year
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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
4-6 year
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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
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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
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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
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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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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
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
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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