Remote data science internship in customer success at Cresta

Cresta, a company specializing in AI solutions for contact centers and customer service, is offering a remote data science internship focused on customer success (Data Science Intern / Customer Success) for students enrolled in bachelor's or master's degree programs in computer science, engineering, or related fields. Applications remain open until September 15, 2026, via the Jobicy platform, offering interns direct engagement in a fast-evolving technical environment that combines AI and practical digital product development, alongside ongoing professional mentorship.

The company rests on a prominent research and investment foundation in Silicon Valley,having originated from the Stanford Artificial Intelligence Laboratory (Stanford AI Lab). Its co-founder and chairman is Sebastian Thrun, who founded major tech initiatives including Google X, Waymo, and Udacity, while the company is led by CEO Ping Wu, who previously oversaw Google's Contact Center AI and Vertex AI platforms, alongside Tim Shi, an early founding team member at OpenAI. The company has raised more than $270 million in venture funding from prominent international funds including Andreessen Horowitz, Sequoia, and Greylock, and provides its unified platform to major global enterprises such as United Airlines, Marriott, and Cox Communications.

The intern's work focuses on collecting, cleaning, and processing structured and unstructured data, conducting exploratory data analysis to identify patterns and extract analytical insights, as well as building and evaluating machine learning models under the guidance of the technical team. Day-to-day responsibilities include developing dashboards and data visualizations to communicate findings clearly to teams and stakeholders, assisting with model deployment and post-launch performance monitoring, documenting experiments and workflows thoroughly, and participating in presentations, feedback sessions, and collaborative learning with data engineers and data scientists.

The role requires practical programming skills in Python and databases,with core requirements including a solid grounding in statistical and machine learning concepts, experience with libraries such as pandas, NumPy, and scikit-learn or frameworks like TensorFlow and PyTorch, alongside SQL querying skills for handling large datasets. Preferred qualifications include proficiency with data visualization tools such as Tableau and Power BI or Matplotlib and Seaborn, experience with cloud platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure, familiarity with Git version control, and exposure to big data tools like Spark and Hadoop.

The company issued a warning to applicants regarding the rise of recruitment fraud and impersonation across the tech sector, noting that all official communications originate exclusively from its corporate domain, with dedicated verification channels to confirm recruiter identities. General labor market estimates for remote data science internships in the US market indicate an estimated annual median of $67,500 within a market range of $55,000 to $80,000 per year, though this estimate serves as a benchmark and does not reflect a salary range posted by the employer.