Data Scientist 2
4 weeks ago
Roles and Responsibilities:
Study existing ML/DL model with product point of view to provide input on the study protocol, and design studies.
Identify and design statistical methods for data analysis, and conduct the actual analysis once datasets and outputs are ready.
Implementing deep-learning models and/or frameworks that can be used in scene segmentation, and object classification using high-resolution satellite imagery
Design and implement performance evaluation frameworks for continuous monitoring and feedback for maintaining deployed models
Keep updated on new developments and research in the field of statistical learning and quality assurance.
Keep documentation of relevant protocols, test plans
Requirements
Experience:
2 - 3 years of professional experience.
5+ years of programming in Python/C++, 2+ years of working with ML frameworks (such as Tensor flow, Pytorch) (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)
Image processing and Computer vision algorithms
Competencies:
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.
Good to Have:
Experience working with Amazon Sagemaker
Knowledge of remote sensing and high-resolution satellite imagery
Experience handling geospatial datasets
Educational Qualifications:
Masters degree/Bachelors degree in Mathematics/Statistics/Computer Science or equivalent
.
Benefits
Why Us?
Opportunity to work on a unique and futuristic technology setup
Flat organizational structure and accessibility
Best in-class leave policy
Additional allowances for learning, skill development, broadband, medical insurance cover, etc
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