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Data Scientist - R/Python


Zyoin Group


Location

Bangalore | India


Job description

Job Description :You will be responsible for supporting the Chief Science Officer (CSO) in leveraging the current state of science to develop sustainability assessment methods and decision-making tools. You will be tasked with performing independent research to answer qualitative and quantitative questions that are necessary to build accurate and useful modeling tools for our platform. The role will involve a substantial amount of data aggregation, processing, and expert analysis. Experienced candidates will be tasked with more sophisticated modeling assignments and will lead their own teams. You will be part of a quickly growing team that values independent thought and innovation. This role is an opportunity to deploy your research and data skills in a novel, impactful, and intellectually stimulating manner.Responsibilities :Support the CSO in the development of the ESG models that drive our platform.Design, develop, and implement standalone scripts and engineered systems to sanitise, structure, analyse, and present diverse data.Work with the software development team to co-develop the appropriate software architectures for the backend data science engine.Contribute to and manage the back-end research code-base and related data tools.Apply a knowledge of mathematics, statistics, scientific programming, machine learning, data modeling, software development, and sector-specific knowledge to develop science-based tools that provide key data insights.Evaluate different models, algorithms, and methodologies for data extraction and manipulation.Requirements :Advanced scientific scripting (Python, R, etc. ), data mining, data engineering, and data visualisation skills.Strong understanding of applied statistics and common data science methods.Experience with machine learning and advanced regression techniques.Previous experience building out data-science pipelines and completing complex data-heavy projects that involve large datasets of diverse data. (ref:hirist.tech)


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