Cresta
Posted 150 days agoVerified live 13h ago
Data Science Intern (Customer Success)
Brief overview
United StatesIn-person
UndergradOr in progress
11 H-1B approvalsDept. of Labor
3 green cardsCertified filings
Python programmingSQLData preprocessingExploratory data analysisMachine learning modelingData visualizationDashboard developmentCloud platforms (AWS, GCP, Azure)PandasNumPyScikit-learnTensorFlow/PyTorchStatistical analysisAnalytical thinkingProblem-solvingCommunication skillsCollaboration
About the company
Crestacresta.com
Cresta uses artificial intelligence to assist sales and service agents in the quality of customer service.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.11H-1B approved
100%approval rate
4new H-1B hires
3PERM certified
$195,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20232
20244
20255
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20231
20242
20253
20262
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20241
20252
Top sponsored roles
Forward Deployed EngineerSenior Product Marketing ManagerCustomer EngineerAI Agent Program DirectorProduct Manager - AI Agent
Sponsored employees from
China
Job description
Summary
Cresta is on a mission to transform customer conversations into competitive advantages through AI and human intelligence. The Data Science Intern will gain hands-on experience working with data, building models, and collaborating with teams to solve real-world problems.
Responsibilities
- 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
Skills
- 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
- 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
Qualifications
Must Haves
- 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