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Cresta

Data Science Intern (Customer Success)

Cresta · United States (Remote)

Posted about 3 months ago

or apply directly on Cresta's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Cresta's roles stay open a median of 80 days
Reposted
No
Salary listed
No
45% of Cresta's roles list one
Ghost-job risk at Cresta
high
94 stale, 1 reposted of 95 open
Hiring momentum
118 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from Cresta's own greenhouse board since 2026-08-03. Full hiring picture for Cresta.

About this role

As a Data Science Intern at Cresta, you will gain hands-on experience by working with real-world data to build models and support data-driven decision-making. Your responsibilities will include data collection and preprocessing, exploratory data analysis, model building and evaluation, and developing visualizations to communicate insights. You will collaborate with data scientists and engineers while receiving mentorship in a fast-paced AI environment.

Our read on this posting2.0out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Cresta as an employer.

What you need

  • 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

Nice to have

  • 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

Worth weighing

  • This is a newly-created role, which may involve some ambiguity in responsibilities.
  • No salary or compensation details are provided in the posting.
  • The role emphasizes mentorship and exposure to customer-facing technical problem solving, which could be valuable for career development.

Summarised from Cresta's posting. Read the full original.

Listed by Cresta on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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