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Research Scientist - IoT BigData Jobs

Research Scientist

Research Scientist

Palo Alto, CA 2016-10-28 - –

Visa Visa

Visa Research is a newly created research organization as part of the company's effort on expanding its technology research capabilities globally.

Visa Research conducts both applied and fundamental research. It engages with the company's technology and product teams, business partners, academics, and governments, to explore and develop technologies that are critical to the payments industry in the future.

Visa Research currently focuses on building research teams in three key areas: Data Analytics, Security, and Future of Payment. We are looking for outstanding researchers at all levels of experience as part of the founding team in the Data Analytics area, reporting to the Head of Data Analytics.

Working on data analytics research at Visa is a unique opportunity at a time when the payments industry is undergoing a digital transformation with data as a critical differentiator. We offer you the opportunity to be at the center of innovation in the payments industry and unleash the power of data through conducting advanced research on data analytics for the future of payment.

The Position

Reporting to the head of Data Analytics, the Researcher will work with a team to conduct world-class research on data analytics and contribute to the long-term research agenda in large-scale data analytics and machine learning, as well as deliver innovative technologies and insights to Visa's strategic products and business. As an integral team member of the Research team, the Researcher will work on research and development activities in the data analytics area with other researchers, and work closely with Product and Technology teams to ensure the successful creation and application of disruptive and innovative technologies.

This role represents an exciting opportunity to make key contributions to Visa's strategic vision as a world-leading data-driven company. The successful candidate must have an outstanding academic track record in fundamental and applied research with participation in developing innovations. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills.

Responsibilities

  • Research and develop cutting-edge technologies in large-scale data analytics and machine learning.
  • Advance the development and integration of big data infrastructure that is highly scalable, efficient, and extensible.
  • Deliver high-impact intellectual property values through research publications and patents.
  • Collaborate with team members to deliver innovative technologies, insights and products to Visa business units to resolve their significant product pain-points and create new growth opportunities.
  • Collaborate with our partners in academia, industry and government on key initiatives to advance our big data research agenda.
  • Work with team members and cross-functional teams (internal/external) that include representation from Technology, Product, Operations, Market Research, etc.
  • Foster in-depth and productive relationships at all levels with team members and clients internally and externally.

Visa Research is a newly created research organization as part of the company's effort on expanding its technology research capabilities globally.

Visa Research conducts both applied and fundamental research. It engages with the company's technology and product teams, business partners, academics, and governments, to explore and develop technologies that are critical to the payments industry in the future.

Visa Research currently focuses on building research teams in three key areas: Data Analytics, Security, and Future of Payment. We are looking for outstanding researchers at all levels of experience as part of the founding team in the Data Analytics area, reporting to the Head of Data Analytics.

Working on data analytics research at Visa is a unique opportunity at a time when the payments industry is undergoing a digital transformation with data as a critical differentiator. We offer you the opportunity to be at the center of innovation in the payments industry and unleash the power of data through conducting advanced research on data analytics for the future of payment.

The Position

Reporting to the head of Data Analytics, the Researcher will work with a team to conduct world-class research on data analytics and contribute to the long-term research agenda in large-scale data analytics and machine learning, as well as deliver innovative technologies and insights to Visa's strategic products and business. As an integral team member of the Research team, the Researcher will work on research and development activities in the data analytics area with other researchers, and work closely with Product and Technology teams to ensure the successful creation and application of disruptive and innovative technologies.

This role represents an exciting opportunity to make key contributions to Visa's strategic vision as a world-leading data-driven company. The successful candidate must have an outstanding academic track record in fundamental and applied research with participation in developing innovations. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills.

Responsibilities

  • Research and develop cutting-edge technologies in large-scale data analytics and machine learning.
  • Advance the development and integration of big data infrastructure that is highly scalable, efficient, and extensible.
  • Deliver high-impact intellectual property values through research publications and patents.
  • Collaborate with team members to deliver innovative technologies, insights and products to Visa business units to resolve their significant product pain-points and create new growth opportunities.
  • Collaborate with our partners in academia, industry and government on key initiatives to advance our big data research agenda.
  • Work with team members and cross-functional teams (internal/external) that include representation from Technology, Product, Operations, Market Research, etc.
  • Foster in-depth and productive relationships at all levels with team members and clients internally and externally.

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