Cresta
Posted 15 days agoVerified live 1d ago
Data Science Intern (Customer Success)
Brief overview
Remote
UndergradOr in progress
11 H-1B approvalsDept. of Labor
3 green cardsCertified filings
PythonMachine LearningStatisticsPandasNumPyScikit-learnTensorFlowPyTorchSQLData Visualization
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 provides an AI platform for conversational agents, human agent augmentation, and conversation intelligence to improve customer experiences. The Data Science Intern will work with real-world data, build and evaluate machine learning models, create visualizations, and support data-driven decision-making while collaborating with data scientists, engineers, business stakeholders, and customers.
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
- This role provides mentorship and exposure to customer-facing technical problem solving in a fast-moving AI/Product environment
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
Benefits
- Mentorship and exposure to customer-facing technical problem solving in a fast-moving AI/Product environment.
- Participation in team demos, feedback sessions, and learning opportunities.
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