Strategic Overview
Data Science Intern (Customer Success) at Cresta is a data opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as Build and evaluate machine learning models under guidance Develop data visualizations and dashboards to communicate findings.
The role is listed for United States with remote working arrangement, giving candidates the practical context needed to assess fit before applying. Relevant signals in the listing include Data Science & Analytics, Entry-Level, Junior.
Key information at a glance
About This 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…
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.
Key Responsibilities & Objectives
- Build and evaluate machine learning models under guidance
- Develop data visualizations and dashboards to communicate findings
- Excellent communication skills and willingness to collaborate with teammates and customers.
Required Qualifications & Candidate Blueprint
- 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.
Salary & Benefits
The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This data opening is a useful opportunity for candidates whose experience matches Data Science & Analytics, Entry-Level, Junior. Its strongest career signal is the scope of the work itself — particularly Build and evaluate machine learning models under guidance — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground Data Science & Analytics, Entry-Level, Junior, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.