Jobs · Engineering

Data Science Intern (Customer Success)

Cresta · United States · 3 wk ago
RemoteRemoteEngineering$270/hrInternship

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

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