Scienaptic is the world's leading AI-powered Credit decisioning platform company. Designed by seasoned Chief Risk Officers, its platform is creating industry leading business impact in terms of lifts such as higher approvals (15-40%) and lower credit losses (10-25%) with all the regulatory explainability. Last year alone, we have helped financial institutions evaluate 45 million consumers and offer credit to over 15 million. Our clients across banks, credit unions, fintech, and other lenders use the platform to improve the quality of underwriting decisions continually. This enables them to say 'yes' to borrowers more often and faster.
We are looking for an energetic and experienced person as Data Scientist. The chosen candidate will be responsible for interacting with clients and developing all aspects of data mining, predictive analytic, solution development to name a few.
Requirements & Skills
Master's in computer science, Mathematical / ML related disciplines with 3-7 years of experience into core ML
Solid understanding of probability / statistics / data science / ML along with Python + SQL proficiency
Expert Python Programmer: SQL, extremely proficient with the SciPy stack (e.g. NumPy, pandas, scikit learn, matplotlib);
Proficiency in work with open-source deep learning libraries like TensorFlow, Keras, Pytorch
Test of hypotheses and analysis of ML models and optimizing models for accuracy
Experience with Spark or other distributed computing systems for large scale training and prediction of ML models
End to end system design: data analysis, feature engineering, technique selection, implementation, debugging, and maintenance in production
Experience with unstructured data and text mining skill set is a plus
Note: We are looking for candidates who are presently serving their notice or who can join us within 15-20 days.