Quantum Data Analytics Intern — Drive Quantum Insights

IBM; Boston (MA); On-site; USD 92,000 - 185,000; Part time

Benefits offered by this job

Paid holidays

Stock purchase plan

Paid family medical leave

Job summary

IBM Research is seeking a Data Scientist Intern to support analytics efforts for the IBM Quantum adoption team. You will work with partners and community members to drive insights from data and enable data-driven decisions across hardware, software, and outreach initiatives.

The role emphasizes collaboration across IBM Quantum, product, marketing, and business development teams, with emphasis on hands-on analytics, dashboards, and predictive modeling.

Qualifications

• Pursuing a masters or PhD in data science or quantitative field such as mathematics, computer science, statistics or physics.
• Proficiency with SQL and experience working with relational databases.
• Proficiency with Python and libraries commonly used for data analysis (NumPy, Pandas, SciPy, scikit-learn, matplotlib, Seaborn).
• Knowledge of ML algorithms and frameworks: linear regression, decision trees, random forests, gradient boosting (XGBoost/LightGBM), neural networks and deep learning; experience with dashboards (Metabase/Amplitude) is a plus.

Responsibilities

• Support data and analytics reporting on IBM Quantum partners and community members to enable data-driven decisions.
• Assist end-to-end workstreams, including building new analytics resources and performing predictive analysis.
• Collaborate with IBM Quantum teams and cross-functional partners in product, marketing and business development.

Skills

SQL

Python

Data analysis

ML algorithms

Data visualization

Communication

Education

Bachelor's Degree

Master's Degree

Tools

Github

Metabase

Amplitude

TensorFlow

PyTorch

Job description

IBM Research is seeking a Data Scientist Intern to support analytics efforts for the IBM Quantum adoption team. You will work with partners and community members to drive insights from data and enable data-driven decisions across hardware, software, and outreach initiatives.

The role emphasizes collaboration across IBM Quantum, product, marketing, and business development teams, with emphasis on hands-on analytics, dashboards, and predictive modeling.