• Modeling & Advanced Analytics: With the help of your team lead design, developing, and deploy predictive and prescriptive models across a variety of domains (e.g., customer behavior, operational efficiency, personalization). • Data Exploration: Analyze large, complex datasets to extract key insights and translate them into strategic recommendations. • Communicate findings clearly and effectively to both technical and non-technical audiences, using compelling data knowledge and visualization. • Collaborate with product managers and business stakeholders to identify opportunities and frame data science solutions. • Partnership & Enablement: Work closely with data engineers, analysts, and software developers to build scalable, data-powered applications. • Mentor junior data engineers, data architects and data scientists, supporting technical development and scientific rigor. • Contribute to the development of reusable assets, tools, and processes to increase team velocity and impact.