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SatSure - Data Scientist III - Machine Learning
3 months ago
Roles and Responsibilities :
- To study existing ML/DL model with product point of view to provide input on study protocol, design studies as Data scientist
- To 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.
- To keep updated on new developments and research in the field of statistical learning and quality assurance.
- To do proper documentation of relevant protocols, test plans.
- To Employ remote sensing fundamentals and technologies in developing state-of-the-art industrial products.
- Process and generate insights from large Earth Observation datasets.
- Carry out research activities on different sectors that can take advantage of space-based insights such as agriculture, infrastructure, disaster management, etc.
- Work with the Remote Sensing and Engineering team to push solutions into production workflows.
- Empowering the machine learning team with rich training and test datasets for different problems.
Qualifications :
- Master's degree or Phd degree in Mathematics or Computer Science.
- 4-5 years of professional experience.
Must have :
- 4-5 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.
- Good hands on experience with Computer Vision Techniques .
- Strong math skills (e.g Statistics, Calculus, Probability, algebra).
Good to have :
- Ability to work in a fast-paced, team-based environment.
- Understanding of DS/ML modeling, Analytical mind, able to dissect data in all Medical Health Cover for you and your family including unlimited online doctor consultations.
- Access to mental health experts for you and your family.
- Dedicated allowances for learning and skill development.
- Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves.
- Twice a year appraisal
