• Design, develop, and deploy predictive and prescriptive models across a variety of domains (e.g., customer behavior, operational efficiency, personalization). • Apply machine learning, deep learning, and statistical techniques to solve real-world business challenges. • Drive experimentation (A/B testing, multi-variate testing) and causal inference to validate hypotheses and measure impact. • 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. • Work closely with data engineers, analysts, and software developers to build scalable, data-powered applications. • Mentor junior data scientists, supporting technical development and scientific rigor. • Contribute to the development of reusable assets, tools, and processes to increase team velocity and impact.