Job Description

SatSure Analytics India Pvt Ltd. SatSure is a deep tech, decision Intelligence company which works primarily at the nexus of geospatial data, data science and engineering creating products for finance, agriculture, climate change and infrastructure sector impacting millions of lives. We want to make insights from earth observation data accessible to all. 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. Roles and Responsibilities: What you will be expected to do: 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. Requirements What we are looking for: Experience: 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). 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. Educational Qualifications: Master\'s degree/Bachelor\'s 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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