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IBM

IBM, formally known as International Business Machines Corporation, is an American multinational technology giant headquartered in Armonk, New York. Nicknamed "Big Blue," IBM is one of the world's oldest and most historically significant IT companies. Today, IBM focuses primarily on hybrid cloud infrastructure, enterprise artificial intelligence, and business consulting services.

Job Description

Job Title: Advisory Data Scientist, IBM Quantum. Location: Research Triangle Park, NC, Yorktown Heights, NY, New York, NY, USA

Responsibilities:

  • Analyze complex datasets related to quantum device adoption, platform usage, product adoption, and community engagement to generate actionable business insights.
  • Design, build, and scale analytical data models and semantic layers that support self-service analytics, reporting, and advanced analysis.
  • Define, standardize, and operationalize key business metrics and KPIs across IBM Quantum.
  • Develop curated datasets, dashboards, and analytics tools that enable stakeholders to independently explore trusted data;
  • Build, maintain, and improve scalable analytical pipelines and workflows that ensure reliable, reproducible, and high-quality insights.
  • Collaborate with product, quantum hardware, software, engineering, leadership, and client-facing teams to translate business and technical requirements into analytical solutions.
  • Apply statistical methods to identify trends, patterns, and opportunities that support strategic decision-making.
  • Transform complex multi-source data into meaningful insights that guide product strategy, executive decisions, and customer success initiatives.
  • Promote trusted, governed, and accessible analytics throughout IBM Quantum.

Qualifications:

  • Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related field.
  • At least 3 years of experience in data science, analytics, or analytics engineering.
  • Strong SQL skills, including PostgreSQL, Presto/Trino, or similar technologies.
  • Strong Python programming skills for data analysis and statistical modeling using libraries such as pandas, NumPy, and SciPy.
  • Experience designing and implementing analytical data models, including dimensional models, semantic layers, and curated datasets.
  • Experience building and maintaining production-grade analytical pipelines using orchestration tools such as Airflow;
  • Experience with business intelligence and visualization tools such as Tableau, Superset, or Cognos Analytics.
  • Experience defining, standardizing, and maintaining business and operational metrics.
  • Familiarity with analytics engineering best practices, including Git, documentation, testing, and modular development.
  • Experience applying statistical techniques including hypothesis testing, exploratory data analysis, and trend analysis.
  • Experience working with heterogeneous datasets.
  • Excellent analytical, communication, problem-solving, and collaboration skills.

Preferred:

  • Master's degree in a related field.
  • Familiarity with Lakehouse architectures and platforms such as IBM watsonx.data.
  • Experience with machine learning workflows, including feature engineering, model evaluation, and deployment.
  • Understanding of data governance concepts including metric definitions, lineage, data contracts, and access controls.
  • Experience working in cloud or distributed computing environments;
  • Familiarity with streaming data technologies such as Kafka and event-driven architectures.
  • Interest in or exposure to quantum computing, advanced hardware systems, or emerging technologies.

Benefits and Compensation:

  • Salary range: $144,000 to $248,000 per year, depending on skills, experience, and location.
  • Comprehensive medical, prescription, dental, vision, and mental health coverage.
  • Financial benefits including:
    • 401(k)
    • Cash balance pension plan
    • IBM Employee Stock Purchase Plan
    • Financial counseling
    • Life insurance
    • Short-term and long-term disability coverage
    • Performance-based incentive programs
  • Paid time off including:
    • 12 paid holidays
    • Minimum 56 hours of sick leave
    • 120 hours of vacation
    • 12 weeks of parental bonding leave
    • Additional paid family and care leave where applicable
  • Access to IBM's AI-powered learning platform with training and professional certification opportunities.
  • Employee resource groups, volunteer programs, and discounts on products and services.

Other Information:

  • Work arrangement: Hybrid.
  • Travel requirement: Up to 20% (approximately one day per week).
  • Visa sponsorship is not available for this position. Applicants must be authorized to work in the United States without current or future sponsorship.
  • IBM Quantum develops industry-leading quantum computing hardware, software, and cloud services that support enterprise, research, and government customers worldwide;
  • IBM Research focuses on advancing next-generation computing technologies, including artificial intelligence, hybrid cloud, and quantum computing.
  • IBM is an Equal Opportunity Employer and considers all qualified applicants regardless of race, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, age, genetics, or other protected characteristics.
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