Data Science Intern (Customer Success)

Stack

Responsibilities

• ▹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 Python, SQL, and cloud platforms
• ▹Document processes, experiments, and results

Requirements

• ▹Enrolled in a Bachelor's or Master's program in Computer Science, Engineering, or a related field
• ▹Experience coding in Python (or another general-purpose language)
• ▹Strong interest in AI, machine learning, or software engineering
• ▹Basic understanding of statistics and machine learning concepts
• ▹Familiarity with Pandas, NumPy, Scikit-learn, or TensorFlow/PyTorch
• ▹Experience with SQL and databases
• ▹Strong analytical and problem-solving skills, excellent communication

Nice to have

• ▹Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn)
• ▹Familiarity with cloud platforms (AWS, GCP, Azure)
• ▹Knowledge of version control (Git)
• ▹Exposure to big data tools (Spark, Hadoop)

Soft skills

About the company

Cresta is a Stanford AI Lab-born company building a unified AI platform that combines conversational AI agents, real-time human agent augmentation, and conversation intelligence to boost customer experience and contact center efficiency. Co-founded and chaired by Sebastian Thrun (Google X, Waymo, Udacity) and led by CEO Ping Wu, co-founder of Google Contact Center AI and Vertex AI; customers include major companies such as United Airlines, Cox Communications, and Marriott.