Data Science Intern (Customer Success)

Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun , the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu , the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi , an early member of Open AI. Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta. About the role: We are looking for a motivated Data Science Intern to join our team. This role offers hands-on experience working with real-world data, building models, and supporting data-driven decision-making. You will collaborate with data scientists, engineers, and business stakeholders to solve meaningful problems. What You'll Do : • Collect, clean, and preprocess structured and unstructured data • Perform exploratory data analysis to identify trends and insights • Build and evaluate machine learning models under guidance • Develop data visualizations and dashboards to communicate findings • Assist in deploying models and monitoring their performance • Work with large datasets using tools like Python, SQL, and cloud platforms • Document processes, experiments, and results clearly • Participate in team demos, feedback sessions, and learning opportunities. • This role provides mentorship and exposure to customer-facing technical problem solving in a fast-moving AI/Product environment. What We're Looking For: • Enrolled in a Bachelor’s or Master’s degree program in Computer Science, Engineering, or a related field. • Experience writing code in Python (or another general-purpose language). • Strong interest in artificial intelligence, machine learning, or software engineering. • Basic understanding of statistics and machine learning concepts • Familiarity with libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow/PyTorch • Experience with SQL and working with databases • Strong analytical and problem-solving skills • Excellent communication skills and willingness to collaborate with teammates and customers. Nice-to-Haves • Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn) • Familiarity with cloud platforms (AWS, GCP, or Azure) • Knowledge of version control (Git) • Exposure to big data tools (Spark, Hadoop) is a plus This posting will be used to fill a