Ibm Computer Science Jobs (NOW HIRING)

Job Summary:
IBM is seeking early-career data professionals to join their team as Operational Data Scientists. In this role, you will work collaboratively across the full data lifecycle, contributing to data systems and analytical workflows while developing expertise in both data engineering and data science disciplines.
Responsibilities:
• US Citizenship is required. Candidates must possess an active Top Secret/SCI (TS/SCI) clearance with a Full Scope Polygraph on Day 1 and be able to work onsite in the Washington, DC Metro area (Chantilly, VA). Work is performed in a secure environment with limited remote flexibility.
• The Junior Data Engineer / Data Scientist is a hands-on technologist and analytical problem-solver who works in collaboration with team members while developing expertise across both data engineering and data science disciplines.
• The successful candidate will contribute to both data systems and analytical workflows, supporting delivery of capabilities that are technically sound, operationally practical, and aligned to mission outcomes.
Qualifications:
Required:
• US Citizenship is required.
• Candidates must possess an active Top Secret/SCI (TS/SCI) clearance with a Full Scope Polygraph on Day 1.
• Candidates must be able to work onsite in the Washington, DC Metro area (Chantilly, VA).
• Work is performed in a secure environment with limited remote flexibility.
• Hands-on experience with Python and SQL, including the ability to manipulate, transform, and analyze data.
• Demonstrate working knowledge of core data concepts, including data ingestion, transformation (ETL/ELT), and working with structured and unstructured data.
• Demonstrated familiarity with statistical analysis or basic machine learning concepts.
• Experience using tools such as Jupyter, Pandas, or similar data-focused libraries to explore and process data.
• Experience working with version control systems such as Git.
• Understanding of writing clean, maintainable, and collaborative code in a team environment.
• Demonstrates a mission-oriented mindset and an understanding of how technical outputs support real-world outcomes.
• Operates effectively in team-based environments with shared ownership and accountability.
• Adapts to evolving or ambiguous situations and demonstrates a consistent commitment to developing across both engineering and analytical domains.
• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics or related technical discipline with 1-3 years of relevant professional experience, or a Master’s degree in related field with little to no professional experience.
• Candidates must demonstrate the ability to apply academic or hands-on experience to real-world data challenges.
Preferred:
• Candidates may enter the role with a lean towards either data engineering or analytics but should demonstrate exposure to both areas and a willingness to expand across the full data lifecycle.
• 3+ years within the last 5 years supporting or architecting systems for the National Security or Defense sector, with exposure to air-gapped delivery and secure AI requirements.
• Experience contributing to data pipelines or ETL/ELT workflows, with familiarity in working with datasets, data modeling, or integrating data from APIs and external sources.
• Exposure to improving data quality, reliability, or performance.
• Academic or project-based experience applying statistical analysis or machine learning techniques.
• Familiarity with tools such as scikit-learn, TensorFlow, PyTorch, or similar frameworks.
• Experience creating visualizations, dashboards, or reporting outputs that help communicate insights to technical and non-technical audiences and support decision-making.
• Familiarity with REST APIs, JSON-based data exchange, or system integrations.
• Exposure to containerization or deployment tools such as Docker or Kubernetes.
• Demonstrated project experience is highly valued.
• Candidates are encouraged to provide examples of relevant work (e.g., GitHub repositories, technical projects, or applied data work) that showcases their ability to build, analyze, and deliver practical solutions.
Company:
IBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions. Founded in 1911, the company is headquartered in Armonk, USA, with a team of 10001+ employees. The company is currently Late Stage.