Quantum Data Scientist Intern: Insights & Impact

IBM; Town of Yorktown (NY); On-site; USD 52,000 - 70,000; Full time

Job summary

IBM Research is seeking a data scientist intern to support analytics for IBM Quantum partners and community members. You will help drive reporting, insights, and data-driven decisions across adoption, hardware, software, and outreach efforts.

Preferred candidates are pursuing a master's or PhD in data science or related fields with strong Python and SQL skills, and experience building dashboards. This role collaborates with product, marketing, and business development teams.

Qualifications

• Pursuing a master's or PhD in data science or other quantitative field.
• Proficiency with SQL and relational databases.
• Proficiency with Python and libraries used for data analysis (NumPy, Pandas, SciPy, scikit-learn, matplotlib, Seaborn).
• Knowledge of common ML algorithms and frameworks (linear regression, trees, XGBoost, TensorFlow, PyTorch).
• Experience building dashboards with data visualization tools (Metabase/Amplitude a plus).

Responsibilities

• Support data and analytics to drive reporting on IBM Quantum partners and community members.
• Assist with end‑to‑end data workstreams, including analytics resources and advanced analyses.
• Interface with IBM Quantum teams, product, marketing and business development to enable data-driven decisions.
• Communicate insights clearly and propose actionable next steps.

Skills

SQL

Python

NumPy

Pandas

Scikit-learn

Matplotlib

Seaborn

Data visualization

Education

Master's degree in data science

Tools

GitHub

TensorFlow

PyTorch

Job description

IBM Research is seeking a data scientist intern to support analytics for IBM Quantum partners and community members. You will help drive reporting, insights, and data-driven decisions across adoption, hardware, software, and outreach efforts.

Preferred candidates are pursuing a master's or PhD in data science or related fields with strong Python and SQL skills, and experience building dashboards. This role collaborates with product, marketing, and business development teams.