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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