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Senior Graph Data Scientist

Job in Richmond, Henrico County, Virginia, 23214, USA
Listing for: TEKsystems
Full Time position
Listed on 2026-01-12
Job specializations:
  • Software Development
    Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 40 - 71.5 USD Hourly USD 40.00 71.50 HOUR
Job Description & How to Apply Below

Senior Graph Data Scientist

Join to apply for the Senior Graph Data Scientist role at TEKsystems
.

3 days ago Be among the first 25 applicants.

CANDIDATES LOOKING FOR REMOTE OR C2C CONTRACTS WILL NOT BE CONSIDERED FOR THIS ROLE. We are seeking a Senior Graph Data Scientist with strong, hands‑on experience in graph data science and graph machine learning. Candidates should have practical experience designing and implementing graph models and algorithms, not simply general data science or analytics experience. Candidates should be comfortable discussing graph schema design, performance tradeoffs, graph algorithms, and large‑scale graph processing.

Responsibilities
  • Serve as the subject‑matter expert in graph data modeling, including schema development and performance optimization
  • Design, implement, and optimize graph algorithms for decision support, classification, and advanced analytics
  • Develop algorithms for graph embedding, clustering, outlier detection, community detection, and dimensionality reduction
  • Build distributed training pipelines capable of handling very large graphs (100M+ graph elements)
  • Design and write queries and stored procedures for data loading, migration, and retrieval from graph databases
  • Interface with customers and internal teams to align expectations and advance graph‑based analytical solutions
Required Experience
  • 5+ years of recent professional experience in Graph Machine Learning
  • 3+ years of experience developing and implementing graph algorithms and data structures, including heterogeneous graphs
  • 3+ years of experience leading research initiatives
  • Strong background in graph data modeling, schema design, and database optimization
  • Proficiency with graph libraries and machine learning frameworks (e.g., PyTorch Geometric, DGL, Graph Data Science tools)
  • Experience with distributed data processing and Spark‑based cloud services (e.g., Azure Databricks)
  • Familiarity with graph databases and query languages
  • Strong communication skills and ability to collaborate with technical and non‑technical stakeholders
  • Master’s degree in Computer Science, Mathematics, or Engineering with a strong focus on graph theory, algorithms, and data structures
Preferred Experience
  • Experience with Neo4j, Cosmos DB, ArangoDB
  • Experience with cloud‑based database services
  • PhD in Computer Science, Mathematics, or Engineering with a focus on graph theory

To be considered, apply with resume in the MS Word format with all‑inclusive W2 hourly contract rate to work onsite in Richmond, VA. Must be willing to submit to a pre‑employment, post‑offer background check and drug test.

Job Type & Location

This is a Contract position based out of Richmond, VA.

Pay And Benefits

The pay range for this position is $40.00 - $71.50/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:

  • Medical, dental & vision
  • Critical Illness, Accident, and Hospital
  • 401(k) Retirement Plan – Pre‑tax and Roth post‑tax contributions available
  • Life Insurance (Voluntary Life & AD&DD for the employee and dependents)
  • Short and long‑term disability
  • Health Spending Account (HSA)
  • Transportation benefits
  • Employee Assistance Program
  • Time Off/Leave (PTO, Vacation or Sick Leave)

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

Seniority level:
Mid‑Senior level.

Employment type:

Full‑time.

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Position Requirements
10+ Years work experience
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