SatSure Analytics Hiring Drive 2024 For Data Scientist | Location Bangalore

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SatSure Analytics Hiring Drive 2024: SatSure Analytics Hiring Drive 2024 for its Data Scientist.SatSure Analytics Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a master’s degree/Bachelor’s degree in Mathematics/Statistics/Computer Science or equivalent. If you are interested, please apply as soon as possible.

Company Name: SatSure Analytics

Role: Data Scientist

Location: Bangalore

Experience: 2 – 3 years

Qualification: Master’s degree/Bachelor’s degree in Mathematics/Statistics/Computer Science or equivalent

Batch: Any

Job Type: Full Time

Salary: Best in Industry

SatSure Analytics Hiring Drive 2024

Job Description:

  • Data Science/Machine Learning team is aimed at developing innovative and state-of-the-art ML/DL solutions.
  • It forms the core of SatSure’s Intellectual Property creation .
  • The team works in a highly collaborative and cross functional manner with Geospatial Experts, ML Engineers and Data Analysts. The solutions that we design span from agrifinance to construction monitoring and impact fields ranging from power transmission to sustainability.


  • Master’s degree/Bachelor’s degree in Mathematics/Statistics/Computer Science or equivalent
  • 2 – 3 years of professional experience.
  • 5+ year programming in Python/C++ (includes coding experience during academics).
  • Experience working with large scale data in mixed method research.
  • Expert-level proficiency in statistical/ML predictive techniques.
  • Understanding of DS/ML modeling, Analytical mind, able to dissect data in all perspectives.
  • Strong math skills (e. g. statistics, algebra
  • A proven ability to learn new tools and technologies quickly.
  • Ability to develop novel solutions rather than look for readily available options.
  • An ability to translate complex topics and tools into easy to understand concepts in order to explain the impact of developed models to the stakeholders and peers.


  • Study existing ML/DL model with product point of view to provide input on study protocol, design studies.
  • Identify and design statistical methods for data analysis, and conduct the actual analysis once datasets and outputs are ready.
  • Planning and implementation of data collection, data sampling and data quality assurance plans.
  • Keep updated on new developments and research in the field of statistical learning and quality assurance. 
  • Keep documentation of relevant protocols, test plans.

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