<ul> <li><strong>Experience That Counts :</strong>&nbsp;5+ years of hands-on data science experience, solving complex problems across a variety of industries. Bonus points if you&#39;ve worked in fast-paced, innovative environments.</li> <li><strong>Tech Skills :</strong>&nbsp;You&rsquo;re fluent in Python, R, or similar languages and have deep expertise with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn). You know your way around big data systems (Spark) and cloud platforms (AWS, GCP).</li> <li><strong>Analytical Superpowers :</strong>&nbsp;Advanced knowledge of statistics, machine learning, and data mining. You&rsquo;re not afraid to dive into unstructured data, and you know how to apply advanced algorithms to solve real-world business challenges.</li> <li><strong>Engineer&rsquo;s Mindset :</strong>&nbsp;You understand how to build production-ready data pipelines and models. Your work isn&rsquo;t just theoretical&mdash;it&rsquo;s designed to scale and make an impact on the business.</li> </ul>