IBM Quantum is an industry first initiative to build universal quantum computers for business, engineering, and science. This effort includes advancing the entire quantum computing technology stack and exploring applications to make quantum broadly usable and accessible. With a worldwide network of Fortune 500 companies, academic institutions, researchers, educators, and enthusiasts, we are committed to driving innovation for our clients in the IBM Quantum Network and the broader quantum community.
Within IBM Quantum, the Ecosystem 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.
In the role of data scientist, 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 IBM Quantum 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, your key stakeholders will be client/community-facing teams at IBM Quantum. In addition, you will interface across many individuals and within IBM, including technical teams within IBM Quantum, product, marketing, and business development teams. You will independently own big, 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
- Good communicator
- Skilled at fostering teamwork and input from all
- Able to take ownership of projects and overcome challenges to deliver value
- Thorough and systematic
- Enthusiasm about quantum computing and data science
- Able to ruthlessly prioritize based on business needs/impact
- Master’s degree in data science or other quantitative field such as mathematics, computer science, statistics or physics
- Advanced proficiency with SQL and experience working with relational databases
- Proficiency with Python and libraries commonly used for data analysis such as Pandas
- Advanced knowledge of statistics and mathematical modeling
- Experience building dashboards with one or more data visualization tools (experience with Apache Superset, Grafana and Amplitude a plus)
- Experience cleaning/wrangling data
- PhD in quantitative field such as mathematics, computer science, statistics or physics
- 2+ years of experience as a data scientist
- Experience with Github or other version control platform(s)
- Demonstrated ability to communicate project insights and findings and propose actionable next steps
- Demonstrated ability to manage stakeholders and collaborate across teams