Senior Data Scientist

About The Company Ouro is a global financial technology company that serves consumers and enterprise customers worldwide with innovative products and services spanning prepaid, debit, secured credit, cross-border payments, and loyalty solutions. Ouro's flagship and category defining Netspend prepaid and debit products connect customers with secure, convenient access to global payment networks so they can manage their money and make everyday purchases. The Role Are you a data-driven powerhouse with a passion for unlocking the true potential of Fintech products? Do you thrive in a fast-paced, innovative environment where your analytical skills can make a significant impact? If so, we have an exciting opportunity for you as a Senior Data Scientist on our Data Innovation Team! As a Senior Data Scientist, you will play a pivotal role in our success by driving data-informed decision-making and accelerating our growth trajectory. You will set the pace and analytical rigor of a team focused on helping more customers experience what Ouro has to offer. You'll utilize analytical capabilities, storytelling, and business acumen to inform our growth roadmap. You'll partner with key leaders to influence through data driven recommendations. What You’ll Do Collaborate with cross-functional teams including product managers, engineers, and designers to identify growth opportunities and develop data strategies that drive product innovation and acquisition Perform comprehensive analyses using a wide array of data sources and advanced statistical techniques to identify trends, patterns, and insights that fuel product optimization and business growth Lead efforts in experimentation, user funnel analysis, dashboard development, and predictive analytics to identify key opportunities to improve Ouro’s web and mobile app acquisition experiences Be the analytics owner for key metrics such as conversion rate, funnel completion rate, etc Communicate complex analytical findings in a clear and concise manner to both technical and non-technical stakeholders, influencing strategic decision-making at all levels of the organization. You should be able to see the forest through the trees. Stay up-to-date with industry trends, competition, emerging technologies, and best practices in growth analytics, ensuring that our team remains at the forefront of innovation Identify opportunities using tools/languages such as Snowflake, Python, JupyterLab. This role has the ability to cover descriptive, diagnostic, proactive, and predictive analytics Own the development, reporting, and analysis of key KPIs to help us understand trends and behaviors that directly impact growth Promote data fluency and data informed decision making throughout the organization Partner with Product, Marketing, and Engineering to ensure proper event tracking and measurement of features, experiments, and products Experience We’re Looking For 5 years of data analytics experience, preferably with a focus on Product 3 years of creating BI applications (Tableau, QlikSense, Power BI), including dimensional data models and interactive visualizations 5 years of professional experience using advanced SQL in a cloud data warehouse environment, such as Snowflake, with large data sets Familiarity with ETL processes, data pipelines,and standardization of disparate data sets Demonstrated ability to frame complex analytical problems, pull data, and extract insights that led to tangible results Experience with propensity modeling, lead scoring, cluster analysis Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and influence stakeholders at all levels of the organization A self-starter mindset, with a strong sense of ownership, and the ability to work autonomously in a fast-paced, ever-changing environment Preferred: Analytics experience leveraging Python and Jupyter Notebooks #J-18808-Ljbffr