About the role

Role overview

Join Cresta as a Data Science Intern (Customer Success) to build experience with real-world data, develop and evaluate ML models, and support data-driven decisions. You’ll work with data scientists, engineers, and business stakeholders in a fast-moving AI/product setting, including exposure to customer-facing technical problem solving.

Key missions

Collaborate with cross-functional teams to tackle meaningful problems by collecting, cleaning, and preprocessing structured and unstructured data
Perform exploratory data analysis (EDA) to uncover trends and insights
Build and evaluate machine learning models under guidance
Develop data visualizations and dashboards to communicate findings
Assist with deploying models and monitoring performance
Document processes, experiments, and results; participate in demos and feedback sessions

Requirements

Strong interest in artificial intelligence, machine learning, or software engineering
Basic understanding of statistics and ML concepts
Familiarity with tools/libraries such as Pandas, NumPy, scikit-learn, and/or TensorFlow/PyTorch
Experience writing code in Python (or another general-purpose language)
Currently enrolled in a Bachelor’s or Master’s program in CS, Engineering, or a related field
Strong analytical and problem-solving skills
SQL experience and ability to work with databases
Excellent communication skills and willingness to collaborate with teammates and customers

Nice to have

Data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)
Familiarity with cloud platforms (AWS, GCP, or Azure)
Knowledge of Git
Exposure to big data tools (Spark, Hadoop)

About Cresta

Cresta is an AI/product company focused on delivering customer-facing intelligence using machine learning and data-driven workflows. The role is centered on collaborating across data science, engineering, and business teams to solve real customer success problems in a fast-moving AI environment.