{"id":3822733,"url":"https://alion.io/job/ibm-quantum-data-scientist-intern","title":"Quantum Data Scientist Intern","company":{"id":86,"name":"IBM","domain":"ibm.com","url":"https://alion.io/company/ibm","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"IBM Careers","truth_index":{"grade":"A","score":100,"open_postings":69,"ghost_share":0,"stale_share":0.174,"repost_share":0.043,"time_to_fill_p50_days":15,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Data Science","role_family":"Data Science","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Yorktown Heights, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":60000,"max":140000,"currency":"USD","period":"year","gross":null,"usd_annual":140000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Airflow","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Presto","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Trino","optional":false}],"status":"live","first_seen_at":"2026-11-05T17:46:25Z","employer_posted_date":null,"last_verified_at":"2026-11-05T17:46:25Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Job Description\nJob Title: Quantum Data Scientist Intern - 2027. Location: Yorktown Heights, New York, USA\nJob Type: Internship (Co-op, Fixed Term, On-site)\nResponsibilities:\nSupport the design, development, and enhancement of IBM Quantum's scalable data and analytics platform.\nDevelop data models, dashboards, reports, and self-service analytics solutions to support informed decision-making.\nApply analytics engineering best practices to improve data reliability, consistency, governance, and accessibility.\nPerform advanced data analysis to identify trends, opportunities, and actionable business insights;\nCollaborate with Product, Engineering, Client Success, Community, and Marketing teams to understand business requirements and develop analytical solutions.\nAssist in designing and implementing data pipelines and data transformations for reporting and analytical use cases.\nPresent findings and recommendations through clear visualizations, presentations, and written reports for technical and non-technical audiences.\nContribute to documentation, knowledge sharing, and continuous improvement of analytics and data engineering practices.\nQualifications:\nBachelor's degree required.\nExperience with Python and common data science libraries, including Pandas, NumPy, and scikit-learn.\nExperience using SQL for data analysis, data transformation, and querying large datasets.\nExperience with statistical modeling, forecasting, experimentation, or machine learning techniques.\nStrong analytical and problem-solving skills;\nAbility to understand complex or unclear business questions and deliver insights with limited guidance.\nAbility to collaborate with technical and business teams.\nExcellent written and verbal communication skills.\nPreferred:\nMaster's degree.\nExperience with analytics engineering tools and frameworks such as dbt.\nFamiliarity with Airflow, Apache Spark, Presto/Trino, or similar data ecosystem technologies.\nExperience working with large-scale event, product, customer, or operational datasets.\nKnowledge of Git, software development best practices, and CI/CD workflows;\nPrevious internship, research, open-source, or project experience in data science, analytics engineering, or data platform development.\nInterest in quantum computing, emerging technologies, and data-driven product development.\nBenefits and Compensation:\nProjected annualized compensation range: $100,800-$184,800.\nEligible employees may receive up to 8 paid holidays.\nMinimum of 56 hours of paid sick time.\nAccess to the IBM Employee Stock Purchase Plan;\nPaid family and medical leave benefits for eligible employees, where required by applicable law.\nDisability benefits for eligible employees, where required by applicable law.\nOpportunities for professional development and continuous learning through IBM's learning resources.\nOther Information:\nWork Arrangement: On-site.\nEmployment Type: Co-op (Fixed Term).\nPosition Type: Internship.\nContract Type: Internship.\nTravel: No travel required.\nWorking Hours: General daytime shift.\nJob ID: 132776.\nDate Posted: November 3, 2026.\nApplication Deadline: Expected to remain open for 15 days from the posting date, or until the position is filled.\nVisa Sponsorship: No specific visa sponsorship information provided in the job listing.\nEqual Opportunity: IBM is an equal opportunity employer and considers qualified applicants without discrimination based on legally protected characteristics.\nBackground Checks: Applicants with criminal histories will be considered in accordance with applicable laws.","description_format":"text","description_chars":3549,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Professional development"],"hiring_locations":[{"name":"United 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