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Yorktown Heights, NY

Internship

Onsite

$92K/yr - $185K/yr

Intern

IBM is a technology and research company advancing AI, hybrid cloud, and practical quantum computing through IBM Research. The Quantum Data Analyst Intern will support IBM Quantum’s data and analytics mission by reporting on partner and community insights, analyzing adoption and impact, building analytics resources, and performing advanced predictive analysis to enable data-driven decisions.

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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

Qualification

Required

Bachelor's Degree
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)
IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship

Preferred

Master's Degree
Experience with Github or other version control platform(s)
Demonstrated ability to communicate project insights and findings and propose actionable next steps

Benefits

Supplemental 1 employees may be eligible for up to 8 paid holidays
Supplemental 1 employees may be eligible for a minimum of 56 hours paid sick time
Supplemental 1 employees may be eligible for the IBM Employee Stock Purchase Plan
IBM offers paid family medical leave to eligible employees where required by applicable law
IBM offers disability benefits to eligible employees where required by applicable law

IBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions.

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