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. This role involves designing and optimizing graph algorithms, building distributed training pipelines, and contributing to technical documentation, while collaborating closely with a multidisciplinary team in a hybrid work environment.
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.
Overview
Confidential Client (via Careertakes) is hiring an Entry-Level Data Scientist to join an IT team working on advanced data management and analytics. This is a hybrid role based in Johnson City, TN. The position begins as a temporary, hourly 40-hour/week engagement for roughly three months with the possibility of conversion to a full-time role based on performance and business needs.
- Location: Johnson City, TN (on-site presence required)
- Employment type: Full-time (initial temporary hourly period possible)
- Estimated salary: $83,113 per year (estimated)
- Clearance/eligibility: Must be a U.S. Citizen or lawful permanent resident (Green Card holder)
What You’ll Do
You will apply academic training and entry-level data science skills to real-world projects under mentorship. Typical assignments include:
- Design, implement, and optimize graph algorithms and data structures for decision support and classification
- Develop and validate algorithms for encoding/embedding, clustering, outlier detection, community detection, and dimensionality reduction
- Help build distributed training pipelines capable of handling very large graphs (100M+ elements)
- Write queries and stored procedures for data loading, migration, and retrieval
- Contribute to technical documentation and white papers
- Collaborate with multidisciplinary teams and support client-facing technical work
Required Qualifications
- Bachelor’s degree in Computer Science, Mathematics, Engineering, or related field — strong emphasis on graph theory, algorithms, and data structures preferred
- Demonstrated passion for data science and eagerness to learn
- Working knowledge of Python
- Strong communication and collaboration skills
- Excellent organization, attention to detail, and self-motivation
- Must be a U.S. Citizen or Green Card holder
Preferred / Helpful Skills
Candidates should have one or more of the following:
- Familiarity with graph libraries and ML frameworks (e.g., PyTorch Geometric, DGL, GDS)
- Experience with standard data libraries (NumPy, Pandas, Matplotlib)
- Experience with Azure Databricks or similar cloud analytics platforms
- Practical knowledge of graph algorithms and time-series/data-structure design
- Software development best practices and testing methodologies
- Familiarity with Cypher, Gremlin, or other graph query languages
Success Factors & Culture Fit
Confidential Client values clear communication, initiative, and attention to detail. The team is collaborative, multidisciplinary, and driven to deliver high-quality technical solutions. A positive attitude and sense of humor are appreciated.
Benefits (if converted to full-time)
Full-time employees may be eligible for benefits including (where applicable):
- 401(k) match (immediate vesting)
- Medical, dental, and vision insurance
- Professional development and mentorship
(Eligibility and details will be provided by the hiring organization if converted to a direct employment arrangement.)
Work Location & Schedule
- This is a hybrid role requiring in-office work in Johnson City, TN. Candidates must be able to work on-site as required by the client (typically multiple days per week).
- Initial engagement: temporary hourly (approx. 3 months) with potential conversion to full-time.
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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