Description

You will be joining Near, one of the fastest growing Enterprise SaaS companies and experience a true start-up culture with the freedom to experiment and innovate. At Near, we believe that great culture is not just about work; it’s work + life. We not only encourage our employees to dream big, but also give them the freedom and the tools to do so.

As a Research Scientist at Near you will focus on developing fundamental first principles-based technologies on a variety of data, modeling and compute related problems from multiple aspects. You will be part of the Near R&D team and the opportunity is to work directly with the Senior Leadership team on new ground breaking projects in the data space.

A Day in the Life

  • Modeling a domain to account for incomplete or noisy data and enable imputation of data.
  • Bring in new techniques to characterize and estimate steady-state and dynamic properties of large-scale aggregate human behavior, geo-spatial data and other types of data exhaust - real-time and historical.
  • Building predictive models to estimate various properties of different systems - given small/large samples of data.
  • Adapt existing signal processing and estimation techniques to improve decision-support at different time scales.
  • Build models of various types/modes at different levels of granularity and confidence that integrate disparate data.
  • Develop new algorithmic techniques that analyze data with a wide variety of constraints including privacy constraints, access constraints, embedded errors and noise and more including video/image/text/speech/unstructured data processing technologies.
  • Work on developing systems - frontend/backend - that adopt new upcoming technologies - Web3/Blockchain, 5G advances, new IOT sensor technologies to build the next generation of decision-support systems.

What You Bring to the Role

  • Master’s Degree, PhD is preferred in Applied Math, Probability & Statistics, Computer Science, Operations Research, Engineering or any computer-related field.
  • An ideal candidate must have academic or applied industrial R&D experience.
  • Familiarity with programming, data analysis - ability to think critically.
  • Additional industry experience of 3-5 years is a plus.
  • Demonstrate capability to formulate and work on problems independently, candidate must have published a 1- 3 research papers in peer reviewed conferences and/or journals.
  • Candidates are expected to have exceptional problem solving, analytical and organisation skills with a detail-oriented attitude.
  • Passion for learning new technologies - Solve real world problems for global impact.
  • Be up to date with the scientific research community.
  • Good communication skills - presentations, written technical reports.

Apply to join us