Data Scientist Associate Sr

As a Data Scientist Associate Sr at JPMorgan Chase within the International Consumer Bank, you play a crucial role in an agile team dedicated to designing and implementing reliable data solutions that encompass collection, storage, access, and analytics in a secure and scalable manner. Your expertise contributes to the development, testing, and maintenance of essential data pipelines and architectures across diverse technical domains, supporting the firm's business objectives effectively. Your responsibilities include collaborating closely with business partners, research teams, and subject matter experts to gain insights into prevalent business challenges. You are tasked with providing stakeholders with precise and timely reports, conducting ad hoc analyses using a variety of data sources to offer actionable insights regarding product performance, customer behavior, and market trends. Your role involves presenting findings in a coherent, logical, and compelling manner, backed by impactful visualizations. Moreover, you collaborate with data engineers, machine learning engineers, and dashboard developers to streamline and enhance business processes. Identifying untapped opportunities to revolutionize business strategies through data-driven insights is a key aspect of your role. The ideal candidate for this position possesses formal training or certification in Data Analysis utilizing Python, coupled with over 3 years of practical experience. Proficiency across the data lifecycle, advanced SQL querying capabilities, and adept data analysis skills in Python are essential qualifications. Your expertise extends to tackling complex business queries, leveraging big data and statistical methods to generate analyses that address specific questions. Experience in customer analytics, encompassing user behavioral and campaign analysis, is highly valued. You demonstrate the ability to extrapolate valuable business insights from raw data, recognizing hidden opportunities within datasets. Operating in a dynamic, agile environment within a dispersed team necessitates excellent written and verbal communication skills in English. Furthermore, candidates with distinctive problem-solving abilities, sound business acumen, and familiarity with machine learning are preferred for this role.,