Advisory Data Scientist - IBM Quantum

International Business Machines Corporation; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) plan

Paid time off

Professional development

Employee discounts

Job summary

IBM Quantum in the United States is seeking an Advisory Data Scientist to translate multi-source data into actionable insights. You will design scalable analytics, dashboards, and data models to guide product strategy and executive decision-making.

You'll collaborate with product, hardware, software, and client-facing teams to ensure data-driven decisions. A Bachelor's is required,Masters preferred, with 3+ years in data science or analytics roles.

Qualifications

• 3+ years in data science, analytics, or analytics engineering.
• Proficiency in SQL for data analysis and metric development.
• Hands-on Python for analysis and statistical modeling.
• Experience designing analytical data models and semantic layers.
• Experience building production-grade analytics pipelines (Airflow).
• Strong data visualization skills for business and technical audiences.
• Ability to define and operationalize metrics across teams.
• Familiarity with analytics engineering best practices (tests, docs, version control).
• Experience with statistical methods to inform decisions.
• Ability to work with heterogeneous datasets and communicate insights.

Responsibilities

• Generate actionable insights from complex datasets to inform decisions.
• Design and implement scalable analytical data models and semantic layers.
• Develop and standardize metrics and KPIs across IBM Quantum.
• Create curated datasets and dashboards to enable self-service analytics.
• Build and maintain analytical pipelines for reliable insights.
• Collaborate with product, hardware, software, and client-facing teams.

Skills

SQL

Python

Data modeling

Analytics pipelines

BI tools

Metrics & KPIs

Statistics

Data visualization

Communication

Education

Bachelor's degree

Master's degree

Tools

PostgreSQL

Presto/Trino

Airflow

Superset

Cognos Analytics

Tableau

Git

Job description

Introduction

IBM Quantum is building the world’s leading quantum computing systems, software, and cloud services. The Advisory Data Scientist in this role will generate and deliver high-impact 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 provide a clear understanding of customer adoption, product usage, and business outcomes. Working closely with client success, product, leadership, and engineering teams, you will translate complex, multi-source data into compelling insights and develop scalable analytics capabilities to enable data-driven decisions within IBM Quantum.

Your role and responsibilities

Your Role and Responsibilities

As an Advisory Data Scientist in IBM Quantum’s Data & Analytics Team, you will design, build, and scale analytical solutions that transform raw data into actionable insights for IBM Quantum. You will bridge data science, analytics, and data engineering practices to enable high-quality decision-making and democratize access to trusted data.

Your primary responsibilities will include:

• Generate Actionable Insights: Analyze complex datasets (e.g. quantum device adoption, platform and product adoption, community adoption) to uncover trends, patterns, and opportunities that inform business decisions.
• Build Analytical Data Models: Design and implement scalable, reusable data models and semantic layers that support self-service analytics, reporting, and advanced analysis.
• Develop Metrics & KPIs: Define, standardize, and operationalize key metrics across IBM Quantum to ensure consistency and alignment in performance tracking and decision-making.
• Enable Self-Service Analytics: Create curated datasets, dashboards, and tools that empower stakeholders to explore data independently while maintaining governance and quality standards.
• Operationalize Analytics Workflows: Develop and maintain analytical pipelines, ensuring reliability, reproducibility, and scalability of insights.
• Collaborate Cross-Functionally: Partner with product, quantum hardware, software, and client-facing teams to translate business and technical requirements into analytical solutions.

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

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

• 3+ years of experience in data science, analytics, or analytics engineering roles, with a focus on deriving insights from complex datasets.
• Demonstrated proficiency in SQL (e.g. PostgreSQL, Presto/Trino) for data analysis, transformation, and metric development.
• Hands-on experience with Python for data analysis and statistical modeling (e.g. pandas, NumPy, SciPy).
• Proven experience designing and implementing analytical data models (e.g. dimensional models, semantic layers, curated datasets).
• Experience developing and maintaining production-grade analytical pipelines and workflows (e.g. using Airflow or similar orchestration tools).
• Strong experience with data visualization and BI tools (e.g. Superset, Cognos Analytics, Tableau), including building dashboards for business and technical stakeholders.
• Demonstrated ability to define, standardize, and operationalize business and operational metrics across teams.
• Familiarity with analytics engineering best practices, including data testing, documentation, version control (Git), and modular development.
• Experience applying statistical methods such as hypothesis testing, trend analysis, and exploratory data analysis (EDA) to inform decision-making.
• Experience working with heterogeneous datasets.
• Strong problem-solving and communication skills, with the ability to translate complex data findings into actionable insights for cross-functional stakeholders.

Preferred technical and professional experience

• Familiarity with Lakehouse architectures and platforms such as IBM watsonx.data.
• Exposure to machine learning workflows, including feature engineering, model evaluation, and deployment considerations.
• Understanding of data governance, including metric definitions, lineage, data contracts, and access controls.
• Experience in cloud or distributed data environments (e.g. hybrid cloud, containerized systems).
• Familiarity with streaming data concepts and real-time analytics (e.g. Kafka, event-driven architectures).
• Interest in or exposure to quantum computing, advanced hardware systems, or cutting-edge technology domains.

ABOUT BUSINESS UNIT

IBM Research is the organic growth engine of IBM and an innovation engine for our customers and partners. As part of this mission, IBM Research anticipates and examines 'What's Next in Computing' to ultimately create and integrate the technologies the world relies upon to solve big challenges and unlock new opportunities. We create and pioneer new markets for IBM, our partners and customers as exemplified in our ongoing quest to reach practical and large-scale quantum computing. Across IBM Research, we realize the power and potential to accelerate discovery with our partners and clients by combining the power of high performance computing, AI, and Quantum, all integrated through the hybrid cloud.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM 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, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to:

• Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being
• Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs
• Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law
• Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals
• Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences

We consider qualified applicants with criminal histories, consistent with applicable law.

This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role.

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.

The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.