Senior Data Scientist

Job Description

Job Description

iQuasar is seeking to fill in a Data Scientist in Reston, VA . At iQuasar we strive to provide the next generation of cutting-edge technologies. Our growth means exciting career opportunities for talented professionals in engineering, software development, and other key areas. We offer competitive compensation and benefits including Health, Vision, and Dental Insurance, matching 401k plan, and other benefits given below, excellent training, and a vibrant working environment. Our employees are exceptional, giving us a competitive advantage by innovating solutions with a strong sense of mission and integrity.

One of our clients in Reston, VA needs a Data Scientist for a permanent position.

• Position: Data Scientist
• Clearance: Secret Clearance
• Location: Reston, VA
• Position Type: Full Time

Task Description:

This is a full-time 90% remote position, 10% to Brite's office in Reston VA.

Key Responsibilities:

• Lead development of predictive models using deep learning and classical machine learning algorithms.
• Build and optimize NLP models leveraging transformer-based architectures (e.g., BERT, GPT).
• Design and implement Retrieval-Augmented Generation (RAG) approaches for LLM-based applications.
• Work with vector databases and graph databases for knowledge representation and retrieval.
• Generate and use simulated data to support training and testing of ML models.
• Perform data standardization, aggregation, and integration from structured and unstructured sources.
• Collaborate with cross-functional teams to understand business needs and translate them into ML solutions.
• Document workflows, produce technical reports, and contribute to academic or industry publications.
• Use version control tools to manage collaborative model development (e.g., GitHub).
• Support end-to-end ML lifecycle from data wrangling and modeling to deployment and monitoring.

Required Qualifications:

• Minimum 8 years of hands-on experience in AI/ML software development using Python and R.
• Strong background in deep learning, transformer-based NLP, and classical ML.
• Experience with RAG, LLMs, and embedding-based retrieval systems.
• Expertise in data wrangling, Web scrapping, data standardization, and feature engineering.
• Proven experience working with vector databases (e.g., FAISS, Pinecone, Weaviate) or graph databases (e.g., Neo4j).
• Strong understanding of ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Familiarity with version control systems (e.g., Git, GitHub).
• Experience with cloud computing platforms (AWS, GCP, or Azure).
• Demonstrated ability to produce high-quality technical documentation and research publications.
• Masters degree or Ph.D. in Statistics, Computer Science, or a related quantitative discipline.

Preferred Qualifications:

• Hands-on experience with SAS, SQL, Amazon RDS, and JIRA.
• Knowledge of ML Ops practices and model deployment pipelines.
• Prior experience in contributing to academic or technical publications.
• Exposure to federal or enterprise-scale projects is a plus.

If you are interested in this position, please send me a copy of your latest resume. Also, please let me know what time/number is best to call to discuss this great opportunity. In case you are not interested in this position, or this is not the right fit for you, please feel free to share this opportunity with your friends/networks or anyone you know who may be interested in this position. Thank you!

• Availability to start a new job
• Best Rates
• Contact

Nia
Recruitment Professional
Representing: Brite Group INC
Direct: View phone number on ziprecruiter.com
Main: View phone number on ziprecruiter.com Ext.: 621
View email address on ziprecruiter.com

An Equal Opportunity Employer

"iQuasar is proud to be an Equal Employment Opportunity Employer. We do not discriminate based on race, religion, color, national origin, political affiliation, sex, sexual orientation, gender identity, age, marital/parental /veteran status, disability, genetic information, membership in an employee organization, retaliation, military service, other non-merit factors, or any other applicable characteristics protected by law"

This is a remote position.