Quantum Data Insights Advisor

IBM; Town of Yorktown (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

IBM Quantum is seeking an Advisory Data Scientist to translate complex, multi-source data into actionable insights that inform client-facing teams, guide product strategy, and support executive decision-making across the organization.

You will design and scale analytical models, datasets, and metrics that illuminate customer adoption, product usage, and business outcomes, and you will develop scalable analytics capabilities to enable data-driven decisions.

Qualifications

• 3+ years of experience in data science, analytics, or analytics engineering roles.
• Strong SQL skills (PostgreSQL, Presto/Trino) for analysis and metrics.
• Hands-on Python for data analysis and statistical modeling (pandas, NumPy).
• Experience designing analytical data models and semantic layers.
• Experience building production-grade analytics pipelines (Airflow).
• Strong data visualization skills with BI tools (Tableau, Superset).
• Ability to define and operationalize business metrics across teams.
• Familiarity with analytics engineering practices: version control, testing, documentation.

Responsibilities

• Generate actionable insights from complex datasets to inform business decisions.
• Build scalable data models and semantic layers to support self-service analytics.
• Develop and operationalize key metrics across IBM Quantum for tracking performance.
• Create curated datasets, dashboards, and tools for self-service analytics.
• Develop and maintain analytical pipelines ensuring reliability and scalability.
• Collaborate with product, hardware, software, and client-facing teams to translate requirements into analytics.

Skills

SQL

Python

Data modeling

Analytics pipelines

BI visualization

Statistics

Communication

Cross-functional collaboration

Education

Master's Degree

Tools

Airflow

Tableau

Superset

Cognos Analytics

Git

Job description

IBM Quantum is seeking an Advisory Data Scientist to translate complex, multi-source data into actionable insights that inform client-facing teams, guide product strategy, and support executive decision-making across the organization.

You will design and scale analytical models, datasets, and metrics that illuminate customer adoption, product usage, and business outcomes, and you will develop scalable analytics capabilities to enable data-driven decisions.