Data Science Intern (Customer Success)

Cresta
US
RemoteCareer-pivot friendly

Who this role is best for

Best suited to students in computer science or engineering who are eager to apply machine learning concepts in a customer-facing AI environment.

Best fit for

  • Students with hands-on Python experience and a curiosity for AI applications.
    — “Experience writing code in Python (or another general-purpose language).
  • Candidates who thrive in collaborative, cross-functional technical teams.
    — “collaborate with data scientists, engineers, and business stakeholders
  • Those comfortable documenting and presenting technical processes clearly.
    — “Document processes, experiments, and results clearly

Things to consider

  • Must be currently enrolled in a degree program.
    — “Enrolled in a Bachelor’s or Master’s degree program
  • Remote role but requires engagement in team demos and feedback sessions.
    — “Participate in team demos, feedback sessions, and learning opportunities.

How to stand out

  • Showcase projects where you transformed raw data into actionable insights.
    — “Perform exploratory data analysis to identify trends and insights
  • Highlight any experience with deploying models in production environments.
    — “Assist in deploying models and monitoring their performance
  • Demonstrate your ability to communicate technical findings to non-technical stakeholders.
    — “Excellent communication skills and willingness to collaborate with teammates and customers.
Pace · Fast PacedCollaboration · MediumAutonomy · MediumDecision Impact · TeamLevel · Intern

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Build and evaluate machine learning models
  • Develop data visualizations and dashboards
  • Assist in deploying models and monitoring their performance
Typical background
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Skills & requirements

Required

PythonSQLPandasNumPyscikit-learnMachine LearningData VisualizationCloud Platforms

Preferred

TensorFlowPyTorch

Stack & domain

PythonSQLPandasNumPyscikit-learnTensorFlowPyTorchCommunicationAIMachine LearningCustomer Success

About the role

Original posting from Cresta via Greenhouse

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 newly-created role.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.com.

Source: Cresta careers (Greenhouse)

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