SaaS Data Science Intern: AI-Driven Customer Health

Austin Community College

Boston (MA)

Hybrid

USD 27.552 - 41.328

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Structured onboarding and mentorship
Hands-on project ownership
Collaborative office environment

Zusammenfassung

A technology company is seeking a Data Science Summer Intern for a hands-on internship focused on applying machine learning and AI to enhance customer experiences. The intern will analyze data, develop predictive models, and communicate insights to business leaders. Candidates should be pursuing a Master’s degree in a related field and have a strong foundation in machine learning, Python, and SQL. The internship is hybrid, allowing for three days a week onsite in Boston.

Qualifikationen

  • Currently enrolled in a Master’s program in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative field.
  • Strong foundation in machine learning, predictive modeling, and statistical analysis.
  • Proficiency in Python with experience using libraries such as pandas, NumPy, and scikit-learn.

Aufgaben

  • Develop predictive models to identify customer health risks and expansion opportunities.
  • Analyze customer product usage and support data to find indicators of customer risk or growth potential.
  • Design and test AI-driven frameworks for proactive customer health management.

Kenntnisse

Machine learning
Predictive modeling
Statistical analysis
Python
SQL

Ausbildung

Master’s program in Data Science or related field

Tools

pandas
NumPy
scikit-learn
Tableau

Jobbeschreibung

A technology company is seeking a Data Science Summer Intern for a hands-on internship focused on applying machine learning and AI to enhance customer experiences. The intern will analyze data, develop predictive models, and communicate insights to business leaders. Candidates should be pursuing a Master’s degree in a related field and have a strong foundation in machine learning, Python, and SQL. The internship is hybrid, allowing for three days a week onsite in Boston.
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