Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Chicago, IL, USA; Kirkland, WA, USA; Sunnyvale, CA, USA.
Qualifications
Minimum qualifications:
Preferred qualifications:
About the job
The Finance Data and Analytics (DnA) team combines business acumen, technology and innovation to organize data, enable insights and create data driven and efficient Finance organization in Google. As part of this team, you will have a unique opportunity to gain perspectives on Google’s core businesses, services and the products.
At Google, data drives all of our decision-making. As a Business Data Science Manager, you will be part of a growing Data Science team for Analysts, Scientists and Engineers. You will work on strategic business challenges across multiple business areas (e.g. Ads, YouTube, Search, Play, etc.) through the lens of growth. You will build and lead a team and collaborate with Data Scientists, Data Engineers, and Project Managers to create end-to-end data products to enable our finance partners to make informed decisions, manage risks and opportunities.
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
Google LLC is an American multinational technology company that focuses on search engine technology, online advertising, cloud computing, computer software, quantum computing, e-commerce, artificial intelligence, and consumer electronics. It has been referred to as the -most powerful company in the world- and one of the world's most valuable brands due to its market dominance, data collection, and technological advantages in the area of AI.
Sydney NSW, Australia
2-4 year
Sydney NSW, Australia
2-4 year
Belo Horizonte, State of Minas Gerais, Brazil
2-4 year
Waterloo, ON, Canada
2-4 year
Waterloo, ON, Canada
2-4 year
Waterloo, ON, Canada
2-4 year
Waterloo, ON, Canada
2-4 year
Waterloo, ON, Canada
2-4 year
Zürich, Switzerland
2-4 year
Beijing, China
2-4 year
Zürich, Switzerland
2-4 year
Paris, France
2-4 year
Rome, Metropolitan City of Rome, Italy
2-4 year
Milan, Metropolitan City of Milan, Italy
2-4 year
Bengaluru, Karnataka, India
0-2 year
Pune, Maharashtra, India
0-2 year
Tel Aviv, Israel
2-4 year
Seoul, South Korea
2-4 year
Bangalore, Karnataka, India
2-4 year
Bengaluru, Karnataka, India
0-2 year
Hyderabad, Telangana, India
0-2 year
Gurugram, Haryana, India
0-2 year
Hyderabad, Telangana, India
2-4 year
Gurugram, Haryana, India
2-4 year
Hyderabad, Telangana, India
0-2 year
Mumbai, Maharashtra, India
0-2 year
Mexico City, CDMX, Mexico
2-4 year
Xindian District, New Taipei City, Taiwan
2-4 year
Banqiao District, New Taipei City, Taiwan
2-4 year
Xindian Rd, Xindian District, New Taipei City, Taiwan
2-4 year
Xindian District, New Taipei City, Taiwan
2-4 year
New Taipei, Banqiao District, New Taipei City, Taiwan
2-4 year
Xindian District, New Taipei City, Taiwan
2-4 year
New Taipei, Banqiao District, New Taipei City, Taiwan
2-4 year
Xindian District, New Taipei City, Taiwan
2-4 year
Xindian District, New Taipei City, Taiwan
2-4 year
Addison, TX, USA
2-4 year
Atlanta, GA, USA
2-4 year
Atlanta, GA, USA
2-4 year
Austin, TX, USA
2-4 year
Austin, TX, USA
2-4 year
Boulder, CO, USA
2-4 year
Boulder, CO, USA
2-4 year
Chicago, IL, USA
2-4 year
Chicago, IL, USA
2-4 year
Chicago, IL, USA
2-4 year
Dallas, TX, USA
2-4 year
Durham, NC, USA
4-6 year
Kirkland, WA, USA
4-6 year
Los Angeles, CA, USA
2-4 year
Los Angeles, CA, USA
2-4 year
Madison, WI, USA
4-6 year
Mountain View, CA, USA
2-4 year
Mountain View, CA, USA
2-4 year
Mountain View, CA, USA
2-4 year
Mountain View, CA, USA
2-4 year
Mountain View, CA, USA
4-6 year
Mountain View, CA, USA
2-4 year
Mountain View, CA, USA
2-4 year
Mountain View, CA, USA
2-4 year
Mountain View, CA, USA
2-4 year
Mountain View, CA, USA
2-4 year
Mountain View, CA, USA
2-4 year
Mountain View, CA, USA
2-4 year
Mountain View, CA, USA
2-4 year
Mountain View, CA, USA
2-4 year
Pittsburgh, PA, USA
2-4 year
Pittsburgh, PA, USA
2-4 year
Pittsburgh, PA, USA
2-4 year
Reston, VA, USA
2-4 year
Redwood City, CA, USA
2-4 year
Raleigh, NC, USA
4-6 year
Princeton, NJ, USA
4-6 year
Redwood City, CA, USA
2-4 year
Redwood City, CA, USA
2-4 year
San Bruno, CA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Sunnyvale, CA, USA
2-4 year
Sunnyvale, CA, USA
2-4 year
Sunnyvale, CA, USA
2-4 year
Sunnyvale, CA, USA
2-4 year
Sunnyvale, CA, USA
2-4 year
Sunnyvale, CA, USA
4-6 year
Sunnyvale, CA, USA
2-4 year
Sunnyvale, CA, USA
2-4 year
Sunnyvale, CA, USA
2-4 year
Sunnyvale, CA, USA
2-4 year
Sunnyvale, CA, USA
2-4 year
United States
2-4 year
Washington D.C., DC, USA
4-6 year
Washington D.C., DC, USA
2-4 year
Chicago, IL, USA
2-4 year
Kirkland, WA, USA
2-4 year
Kirkland, WA, USA
2-4 year
Mountain View, CA, USA
2-4 year
Mountain View, CA, USA
2-4 year
Mountain View, CA, USA
2-4 year
Mountain View, CA, USA
2-4 year
Mountain View, CA, USA
2-4 year
Mountain View, CA, USA
2-4 year
Mountain View, CA, USA
2-4 year
Mountain View, CA, USA
2-4 year
Mountain View, CA, USA
2-4 year
Sunnyvale, CA, USA
4-6 year
Sunnyvale, CA, USA
2-4 year
Sunnyvale, CA, USA
2-4 year
Sunnyvale, CA, USA
2-4 year
Sunnyvale, CA, USA
2-4 year
Sunnyvale, CA, USA
2-4 year
Sunnyvale, CA, USA
2-4 year
Sunnyvale, CA, USA
2-4 year
Sunnyvale, CA, USA
2-4 year
Sunnyvale, CA, USA
2-4 year
Sunnyvale, CA, USA
2-4 year
Mountain View, CA, USA
2-4 year
Sunnyvale, CA, USA
6-8 year
Zhubei, Zhubei City, Hsinchu County, Taiwan
2-4 year
Waterloo, ON, Canada
2-4 year
Mountain View, CA, USA
2-4 year
New Taipei, Banqiao District, New Taipei City, Taiwan
2-4 year
Zürich, Switzerland
2-4 year