Balancehero India
Location
Gurgaon | India
Job description
About Balancehero Balancehero Korea is a company that developed the True Balance app – a next-generation fintech platform operated by Balancehero India Pvt. Ltd. based in Gurugram, India. Aiming to finance the next billion users, True Balance app provides digital wallet, lending, recharge & utility payments , mainly to financially underserved Indians. Driven by 5 Core Values, we cultivate a culture which encourages freedom of expression, equal opportunity for growth, open channels of communication and complete transparency within the organization. Employees are at the heart of each decision and that is what drives true growth for us.
Website- Job Title: Data Scientist Experience: 3-7 years Location: Gurgaon Description Balance Hero India Pvt Ltd.com is seeking a Data Scientist to join our Finance Automation Team. About the Job Data Scientist of Balancehero India aims to achieve tangible results by solving business problems by using ML/DL/Statistics in production-level. We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning background to solve business problems. Responsibilities Explore and process data from all kind of data source Apply several techniques in order to derive patterns from the data Data analysis and modeling using python Prediction of default probability and calculation of appropriate interest rate for each personal loan Estimating a user's salary / income / emi As a data scientist, the experience of managing all pipeline from EDA to developing & serving & monitoring model Requirements Bachelor's degree in computer science, engineering, mathematics or related technical/scientific field Minimum 3 years of relevant experience in building machine learning systems Coding and problem-solving skills in python Practical experience in handling small data using pandas ecosystem such as pandas, numpy, scikit-learn, statsmodels Practical experience in handling big data using Hadoop ecosystem such as Hive, Spark, Presto Communication in English Preferred qualification Graduate degree (MS or PhD) in computer science, engineering, mathematics or related technical/scientific field Practical experience in operating real-time prediction ML products Practical experience in solving complex problems in an applied environment Practical experience in building deep learning systemsJob tags
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