Data Scientist

We are seeking experienced data scientists to join our team in creating an AI-driven fintech solution. As part of our cross-functional team, you will play a crucial role in ideation, 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 our

customers.

Responsibilities

Build, deploy, and scale Data Science solutions on generating AI-driven transaction

insights for users

Understand business objectives and deep dive into existing data to recommend new product ideas to solve for the most impactful customer problems Use your experience in Data Science, Machine Learning, Software Engineering, distributed systems to develop these systems, and work with the platform team to take the systems to production Work with Business teams to continuously refine and improve the systems to cater to ever-changing needs Align with stakeholders on key product metrics, design and propose experimentation strategies. Launch A/B tests, analyze experiment results and provide recommendations Design and own frontend and backend data specs for new products, while collaborating with engineering teams to ensure accurate and timely data collection Understand business objectives and deep dive into existing data to recommend new product ideas to solve for the most impactful customer problems Use data to identify trends, spot anomalies and deep dive into their root causes Requirements Graduate of BS/BA Computer Science, Information Technology, Statistics, Mathematics, Operations Research, or other related courses

Senior Data Scientist -

Proven experience as a Data Scientist (preferably 5 years), with a strong track record of delivering impactful data-driven solutions. Strong problem solving, quantitative, and analytical skills Solid knowledge of Data Science and Machine Learning fundamentals, with proven experience formulating Data Science solutions to business problems Proven ability to recognize business needs and to communicate with multiple stakeholders within the Product Management, Business and Operations teams Proficiency in programming languages such as Python or R, along with expertise in data manipulation, analysis, and visualization Ability to deliver on tight timelines and move quickly with cross-functional teams to execute on decisions while maintaining attention to detail Experience in handling Warehouse operation data is an advantage

Originally posted on Himalayas