We are seeking experienced data scientists to join our team in creating an AI-drivenfintech solution. As part of our cross-functional team, you will play a crucial role inideation, research, prototyping, and production. You will analyze complex datasets,develop predictive models, and extract actionable insights to drive business growth and enhance our products. Your expertise will ensure the best user experience for ourcustomers. ResponsibilitiesBuild, deploy, and scale Data Science solutions on generating AI-driven transactioninsights for usersUnderstand business objectives and deep dive into existing data to recommendnew product ideas to solve for the most impactful customer problemsUse your experience in Data Science, Machine Learning, Software Engineering,distributed systems to develop these systems, and work with the platform team totake the systems to productionWork with Business teams to continuously refine and improve the systems to caterto ever-changing needsAlign with stakeholders on key product metrics, design and propose experimentation strategies.Launch A/B tests, analyze experiment results and provide recommendationsDesign and own frontend and backend data specs for new products, whilecollaborating with engineering teams to ensure accurate and timely data collectionUnderstand business objectives and deep dive into existing data to recommendnew product ideas to solve for the most impactful customer problemsUse data to identify trends, spot anomalies and deep dive into their root causesRequirementsGraduate of BS/BA Computer Science, Information Technology, Statistics,Mathematics, Operations Research, or other related coursesSenior Data Scientist -Proven experience as a Data Scientist (preferably 5 years), with a strong trackrecord of delivering impactful data-driven solutions.Strong problem solving, quantitative, and analytical skillsSolid knowledge of Data Science and Machine Learning fundamentals, with provenexperience formulating Data Science solutions to business problemsProven ability to recognize business needs and to communicate with multiplestakeholders within the Product Management, Business and Operations teamsProficiency in programming languages such as Python or R, along with expertise indata manipulation, analysis, and visualizationAbility to deliver on tight timelines and move quickly with cross-functional teams toexecute on decisions while maintaining attention to detailExperience in handling Warehouse operation data is an advantageOriginally posted on Himalayas