Posted today
Unspecified
Unspecified
IT - Data Science
Charlotte, NC (On-Site/Office)•Dulles, VA (On-Site/Office)
iQuasar is seeking to fill the Data Scientist position which is at Dulles, VA & Charlotte, NC. 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, a 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 client’s needs a Data Scientist.
• Position: Data Scientist
• Location: Dulles, VA & Charlotte, NC
• Travel: None anticipated
• Position Type: Permanent
Job Summary:
What You’ll Get to Do:
• Perform statistical analysis, clustering, and probability modeling to drive insights and inform AI-driven solutions
• Analyze graph-structured data to detect anomalies, extract probabilistic patterns, and support graph-based intelligence
• Build NLP pipelines with a focus on NER, entity resolution, ontology extraction, and scoring
• Contribute to AI/ML engineering efforts by developing, testing, and deploying data-driven models and services
• Apply ML Ops fundamentals, including experiment tracking, metric monitoring, and reproducibility practices
• Collaborate with cross-functional teams to translate analytical findings into production-grade capabilities
• Prototype quickly, iterate efficiently, and help evolve data science best practices across the team
What You’ll Bring with You:
• Solid experience in statistical modelling, clustering techniques, and probability-based analysis
• Hands-on expertise in graph data analysis, including anomaly detection and distribution pattern extraction
• Strong NLP skills with practical experience in NER, entity/ontology extraction, and related evaluation methods
• An engineering-forward mindset with the ability to build, deploy, and optimize real-world solutions (not purely theoretical)
• Working knowledge of ML Ops basics, including experiment tracking and key model metrics
• Proficiency in Python and common data science/AI libraries
• Strong communication skills and the ability to work collaboratively in fast-paced, applied AI environments
If you are interested in this position, please send me a copy of your latest resume at karen.khursheed@iquasar.com. 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 a 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 #
Please don’t hesitate to contact me for any questions you may have. All employment is decided based on qualifications, merit, and business need.
Regards,
Karen Khursheed
Recruitment Specialist
iQuasar, LLC
Cleared Recruitment | Proposal Development | Technology
Direct: (703) 986-3348
Main: (703) 962-6001 Ext. 559
karen.khursheed@iQuasar.com
www.iQuasar.com
Hours: 6:30 a.m. to 3:30 p.m. EST
iQuasar, LLC is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion/belief, national, social, or ethnic origin, disability, gender/gender identity, marital/partnership status, pregnancy, medical history or genetic information, family or parental status, or any other status protected by federal and state regulations.
One of our client’s needs a Data Scientist.
• Position: Data Scientist
• Location: Dulles, VA & Charlotte, NC
• Travel: None anticipated
• Position Type: Permanent
Job Summary:
What You’ll Get to Do:
• Perform statistical analysis, clustering, and probability modeling to drive insights and inform AI-driven solutions
• Analyze graph-structured data to detect anomalies, extract probabilistic patterns, and support graph-based intelligence
• Build NLP pipelines with a focus on NER, entity resolution, ontology extraction, and scoring
• Contribute to AI/ML engineering efforts by developing, testing, and deploying data-driven models and services
• Apply ML Ops fundamentals, including experiment tracking, metric monitoring, and reproducibility practices
• Collaborate with cross-functional teams to translate analytical findings into production-grade capabilities
• Prototype quickly, iterate efficiently, and help evolve data science best practices across the team
What You’ll Bring with You:
• Solid experience in statistical modelling, clustering techniques, and probability-based analysis
• Hands-on expertise in graph data analysis, including anomaly detection and distribution pattern extraction
• Strong NLP skills with practical experience in NER, entity/ontology extraction, and related evaluation methods
• An engineering-forward mindset with the ability to build, deploy, and optimize real-world solutions (not purely theoretical)
• Working knowledge of ML Ops basics, including experiment tracking and key model metrics
• Proficiency in Python and common data science/AI libraries
• Strong communication skills and the ability to work collaboratively in fast-paced, applied AI environments
If you are interested in this position, please send me a copy of your latest resume at karen.khursheed@iquasar.com. 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 a 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 #
Please don’t hesitate to contact me for any questions you may have. All employment is decided based on qualifications, merit, and business need.
Regards,
Karen Khursheed
Recruitment Specialist
iQuasar, LLC
Cleared Recruitment | Proposal Development | Technology
Direct: (703) 986-3348
Main: (703) 962-6001 Ext. 559
karen.khursheed@iQuasar.com
www.iQuasar.com
Hours: 6:30 a.m. to 3:30 p.m. EST
iQuasar, LLC is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion/belief, national, social, or ethnic origin, disability, gender/gender identity, marital/partnership status, pregnancy, medical history or genetic information, family or parental status, or any other status protected by federal and state regulations.
group id: 10322569
