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Yorktown Heights, NY

Internship

Onsite

$92K/yr - $185K/yr

Intern

IBM is hiring a Quantum Data Analyst Intern to support IBM Quantum’s data and analytics mission. The intern will develop reporting and insights on IBM Quantum partners and community members, build analytics resources, and perform advanced data analysis to enable data-driven decisions.

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Responsibilities

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

Qualification

Required

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
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

Preferred

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

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 and disability benefits to eligible employees where required by applicable law
You’ll be able to learn and develop yourself and your career
You’ll be encouraged to be courageous and experiment every day
Continuous trust and support in an environment where everyone can thrive whatever their personal or professional background

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

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