Decision Science Analyst

HIRING FOR UPGRADResponsibilities:- Collaborate with the business and the product teams and aid them in making data-driven decisions.- Generate pricing insights by performing pricing analysis, building pricing models, and devising merchandising strategies for food and grocery products sold on the platform.- Lead investigations into multiple streams of product data, analyze behavioral and click-through data, and build user behavior models and data visualization on user funnels. Work, analyze, evaluate, and generate insights on how users are interacting with our products and factor that into our pricing/merchandising models.- Provide insights to the product team to develop new methods for optimizing product performance, selection strategies, and inventory guidance to drive GMV/CX goals.- Research and develop new frameworks, models, and processes for computing product affinity scores and demand-supply curves based on behavioral and transactional data.- Design experiments to answer targeted questions and conduct exploratory data analysis in high dimensions.- Build business cases and models to quantify new opportunities, using data and solid business judgment.- Build a credit model for our customers and help us understand whom should we lend.Requirements:- A bachelor's degree in Statistics or other quantitative disciplines such as Engineering, Applied Mathematics, etc from IIT/BITS/IISc.- 10 months to 2 years of professional experience in an analytical role.- Experience in working with large datasets, thorough knowledge of SQL, and top data mining software + data viz tools like Tableau Software.- Experience in building time series modeling and user behavior modeling.- Ability to draw conclusions from data and recommend actions.- Willingness to learn new techniques.- Excellent communication skills.- High energy and a desire to work in a results-oriented, growth cross-functional environment.- A team player attitude and passion to deliver results.