Data Scientist
Skills Preferred
Job Description
Join our team in this B2B2C role to transform how companies deliver credit (personal loans, BNPL, etc.) through personalized and instantaneous experiences to customers. The engine behind this transformation is FinBox's low-code tool and an API platform that empowers companies to quickly release new world-class products to their customers in months instead of years.
Responsibilities
Analyzing big data and producing meaningful insights with demonstrable results. Applying rigorous experimentation and iterative analytics to steer the improvements of our products, while implementing data science. Creating algorithms to extract information from a large data set to perform statistical analysis and analyze the same to create predictive models. Creating dashboards/visualizations for monitoring. Distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives. Document end-to-end process in a presentable format. Data gathering/pre-processing- Collect and process relevant data for Insight generation and model building. Distill complex results or processes into simple, clear visualizations. Data interpretation - generate insights and explain in an understandable manner. Reporting - Automation of reports using visualization tools. Deploy data science and technology-based algorithmic solutions to address the business needs of our customers. Apply appropriate techniques, such as exploratory data analysis, regression analysis, bootstrapping, decision trees, cluster analysis, choice modelling, survival analysis, etc.
Job Requirements
Strong analytical skills, Data visualization and presentation. Proficiency in Python/R, SQL, and Excel. Knowledge of AWS and Git. Knowledge of statistical concepts and machine learning models. Knowledge of Data science tools, algorithms.
Salary
