Senior Data Scientist

iQuasar, LLC; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

401(k) Matching

Training & Development

Remote work

Job summary

iQuasar, LLC is seeking a Data Scientist in Reston, VA. The role offers 90% remote work with 10% in the Reston office and requires a Secret Clearance. The candidate will lead development of ML models, NLP, and RAG-based solutions for a federal-scale client in a fast-paced environment.

Qualifications include 8+ years of AI/ML experience, expertise in TensorFlow, PyTorch, and scikit-learn, and a Master’s or PhD in a quantitative field. Remote collaboration and strong documentation are essential.

Qualifications

• 8+ years of hands-on AI/ML software development with Python and R.
• Strong background in deep learning, transformer-based NLP, and classical ML.
• Experience with RAG, LLMs, and embedding-based retrieval systems.
• Data wrangling, Web scrapping, data standardization, and feature engineering.
• Experience with vector databases (FAISS, Pinecone, Weaviate) or graph databases (Neo4j).
• Proficiency with TF, PyTorch, and scikit-learn.
• Cloud experience with AWS, GCP, or Azure.
• Master’s degree or Ph.D. in Statistics, Computer Science, or related field.

Responsibilities

• Lead development of predictive models using deep learning and classical ML algorithms.
• Build and optimize NLP models using transformer architectures (e.g., BERT, GPT).
• Design and implement RAG approaches for LLM-based apps.
• Work with vector and graph databases for knowledge retrieval.
• Generate and use simulated data to support training and testing of ML models.
• Standardize, aggregate, and integrate data from structured and unstructured sources.
• Collaborate with cross-functional teams to translate business needs into ML solutions.
• Document workflows and produce technical reports/research publications.
• Use GitHub for version control and collaboration.

Skills

Python

R

Deep learning

NLP

LLMs

ML pipelines

Education

Master’s degree in Statistics/CS

PhD in Statistics/CS

Tools

AWS

GCP

Azure

GitHub

FAISS

Pinecone

Weaviate

Job description

iQuasaris 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.
• Master’s 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.

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.