Entry-Level Data Scientist
The Entry-Level Data Scientist at Confidential Client will apply academic knowledge in graph algorithms and data science to real-world projects, focusing on advanced data management and decision support systems. The role involves designing and optimizing graph algorithms, building distributed training pipelines, and contributing to technical documentation, all within a collaborative, innovative team environment based in Washington, DC.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client is seeking an Entry‑Level Data Scientist to support graph-based data management and analytics projects. You will apply academic training and emerging techniques to real-world problems while working with experienced mentors and cross-functional teams.
- Design, implement, and optimize graph algorithms and data structures for decision support and classification systems
- Implement encoding/embedding, clustering, outlier detection, community detection, and dimensionality reduction algorithms
- Build and maintain distributed training pipelines that handle very large graphs (100M+ graph elements)
- Design and write queries and stored procedures for data loading, migration, and retrieval
- Contribute to technical documentation and white papers to capture methodology and results
- Collaborate with engineers, data scientists, and stakeholders to refine requirements and deliverables
Qualifications
- Bachelor’s degree in Computer Science, Mathematics, Engineering, or related field (strong focus on graph theory, algorithms, and data structures preferred)
- Working knowledge of Python and practical experience writing code for data workflows
- Excellent written and verbal communication skills; enjoys collaboration across teams
- Strong organizational skills, attention to detail, and self-motivation
- Must be a U.S. Citizen or Green Card holder (required for this role)
Preferred / Nice-to-Have Skills
- Familiarity with graph ML libraries and frameworks (e.g., PyTorch Geometric, DGL, GDS)
- Experience with NumPy, Pandas, Matplotlib or similar data libraries
- Exposure to Azure Databricks or other cloud data platforms
- Experience with Cypher or Gremlin query languages and graph databases
- Familiarity with software testing concepts and general software development practices
Compensation & Employment Details
- Pay: $28.00 per hour (hourly, as posted)
- Hours: 40 hours per week (full-time expectation)
- Duration: Initial 3‑month temporary hourly engagement with possible conversion to full‑time based on performance and business need
- Work arrangement: Hybrid — candidates must be able to work in person at the Rosslyn, VA office at least three days per week
Success at Confidential Client
Communication and a proactive, solution-oriented mindset are key. High performers at Confidential Client are detail-oriented, take initiative, collaborate effectively, and contribute constructively to technical decisions. Benefits for full-time employees may include retirement match and medical, dental, and vision plans (details provided upon hire).
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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