Cresta

Data Science Intern (Customer Success)

USA, United States full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

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 [email protected].

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Data Analysis MySQL Python SQL Writing Mid level

Likely questions

  1. Tell us about work you have done that is close to the Data Science Intern (Customer Success) role.
  2. How would you approach your first 30 days at Cresta?
  3. Which of Data Analysis, MySQL and Python have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, MySQL and Python.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Data Science Intern (Customer Success) role because I can bring practical experience in Data Analysis, MySQL and Python, learn the team quickly, and contribute to the outcomes Cresta needs from this hire.

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