IBM Quantum is building quantum computing systems, software, and cloud services. The Data Scientist Intern will support scalable data and analytics platforms, develop models and self-service analytics solutions, perform advanced analyses, and collaborate with cross-functional stakeholders to deliver actionable insights.
Responsibilities
Support the design, development, and enhancement of IBM Quantum's scalable data and analytics platform
Develop data models, dashboards, reports, and self-service analytics solutions that enable informed decision making
Apply analytics engineering best practices to improve data reliability, consistency, governance, and accessibility
Perform advanced data analyses to identify trends, opportunities, and actionable business insights
Collaborate with internal teams such as Product, Engineering, Client Success, Community, Marketing teams to understand business requirements and translate them into analytical solutions
Assist in designing and implementing data pipelines and transformations to support reporting and analytical use cases
Communicate findings and recommendations through clear visualizations, presentations, and written analyses tailored to both technical and non-technical audiences
Contribute to documentation, knowledge sharing, and continuous improvement of the team's analytics and data engineering practice
Qualification
Required
Bachelor's Degree
Experience working with Python (and common data science libraries such as Pandas, NumPy, scikit-learn) and SQL for data analysis, transformation, and querying large datasets
Experience with statistical modeling, forecasting, experimentation, or machine learning techniques
Strong analytical and problem-solving skills with the ability to navigate ambiguous business questions and deliver insights with limited guidance
Ability to work collaboratively in a cross-functional environment with both technical and business stakeholders
Excellent written and verbal communication skills
Preferred
Master's Degree
Experience with analytics engineering practices and tools such as dbt or similar transformation frameworks
Exposure to Airflow, Apache Spark, Presto/Trino, or similar data ecosystem technologies
Experience working with large-scale event, product, customer, or operational datasets
Knowledge of Git, software development best practices, and CI/CD workflows
Prior internship, research, open-source, or project experience involving data science, analytics engineering, or data platform development
Interest in quantum computing, emerging technologies, and data-driven product development
Benefits
Up to 8 paid holidays
Minimum of 56 hours paid sick time
IBM Employee Stock Purchase Plan
Paid family medical leave for eligible employees where required by applicable law
Disability benefits for eligible employees where required by applicable law
IBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions.
