[3 Days Left] Data Scientist

Are you passionate about solving roadblocks challenges faced by MSMEs in India MSMEs contribute significantly to India s total GDP 90 of India s 1 Trillion Retail Market is controlled by Micro Small Medium Enterprises MSMEs Which means 900B worth of commerce flows through these 60M MSMEs in the form of shops kiosks homes scattered all over the country We at Khatabook have a vision to empower MSMEs and help them increase their incomes We have built a product that brings efficiency in MSME operations by providing them easy to use tools to manage their receivables inventory and billing which creates transparency in their cash flow Within the Khatabook platform we have also enabled the facility to take loans for their short term working capital needs for select Khatabook users that are displaying good credit behavior Our app has been downloaded over 100 Million times with a monthly active user base of 8 Million which are adding 220 Million transactions with a transaction value of 18 Billion Why work with us People are our biggest asset At Khatabook every one of us is a dynamic superstar We have carefully bred an ecosystem which hires nothing but incredibly and exceptionally talented people who can dream collaborate experiment and break new ground We re a strong team that looks out for each other Your role We at Khatabook are looking to hire a Data Scientist II If you want to tackle hard and interesting problems at scale and create an impact within an entrepreneurial environment this is the place for you What would you do at Khatabook Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions Mine and analyze data from company databases to drive optimisation and improvement of product development marketing techniques and business strategies Assess the effectiveness and accuracy of new data sources and data gathering techniques Develop custom data models and algorithms to apply to data sets Use predictive modeling to increase and optimize customer experiences revenue generation ad targeting and other business outcomes Develop company A B testing framework and test model quality Coordinate with different functional teams to implement models and monitor outcomes Develop processes and tools to monitor and analyze model performance and data accuracy What are we looking for 2 years of experience manipulating data sets and building statistical models Strong problem-solving skills with an emphasis on product development Experience using statistical computer languages R Python SQL etc to manipulate data and draw insights from large data sets Experience working with and creating data architectures Knowledge of a variety of machine learning techniques clustering decision tree learning artificial neural networks etc and their real-world advantages drawbacks Knowledge of advanced statistical techniques and concepts regression properties of distributions statistical tests and proper usage etc and experience with applications Experience in working with a full ML project lifecycle understanding the problem statement and data feature creation development tuning validating deployment monitoring and retraining Excellent written and verbal communication skills for coordinating across teams Knowledge of real-time and batch deployment techniques Worked with MLOps pipeline and tools such as GIT DVC S3 Airflow and Kubernetes A drive to learn and master new technologies and techniques Bachelor s degree in Statistics Mathematics Computer Science or another quantitative field