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Introduction

IBM Research takes responsibility for technology and its role in society. Working in IBM Research means you'll join a team who invent what's next in computing, always choosing the big, urgent and mind-bending work that endures and shapes generations. Our passion for discovery, and excitement for defining the future of tech, is what builds our strong culture around solving problems for clients and seeing the real world impact that you can make.

IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.

Your role and responsibilities

Within IBM Quantum, the Adoption Team is an elite team serving our partners as they research quantum computing solutions for their most pressing business challenges. We keep our partners up to date with the latest technical advances, and make sure they are empowered to use our software and services.

As a data scientist intern, you will be supporting our data and analytics mission to drive reporting on and insights into the IBM Quantum partners and community members and your work will enable the team to make data-driven decisions. Focus areas will include adoption and impact of IBM Quantum hardware, software, learning and outreach content, and events. As a data scientist intern, your key stakeholders will be client/community-facing teams at IBM Quantum. In addition, you will interface across many individuals and parties at partner institutions and within IBM, including technical teams within IBM Quantum, product, marketing, and business development teams. You will support end-to-end workstreams, such as the building of new analytics resources and performing of advanced (predictive) data analysis.

Successful attributes to thrive in this role are:

* Creative in framing and solving complex problems

* Self-starter

* Agile in navigating a complex organization and in stakeholder management

* Organized, with exceptional project management skills

* Quick learner with an independent growth mindset

* Able to absorb new technical concepts quickly and thoroughly

* Excellent communication skills, with the ability to explain technical concepts clearly

* Enthusiasm about quantum computing and data science

Required technical and professional expertise

* Pursuing a masters or PhD degree in data science or other 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 (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, Seaborn, etc.)

* Knowledge of common machine learning algorithms and frameworks: linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch

* Experience building dashboards with one or more data visualization tools (experience with Metabase and/or Amplitude a plus)

Preferred technical and professional experience

* Experience with Github or other version control platform(s)

* Demonstrated ability to communicate project insights and findings and propose actionable next steps

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.