Data Scientist

Dallas, IA - USA

Yearly Salary: $ 90000 - 95000

Posted on: 19 hours ago

Vacancies: 1 Vacancy

Job Summary

Benefits:

401(k)
Dental insurance
Paid time off
Vision insurance

iQuasar is seeking to fill the Data Scientist position. 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 401 (k) 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 needs a Data Scientist.

Position: Data Scientist
Location: Dallas TX & Charlotte NC
Travel: 100% onsite
Position Type: Full-time

Job Summary:

What Youll 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 Youll 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 Also please let me know what time/number is best to call to discuss this great 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 #

Please dont 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:
Main: Ext. 559

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.

Compensation: $90000.00 - $95000.00 per year

Benefits:401(k)Dental insurancePaid time offVision insuranceiQuasar is seeking to fill the Data Scientist position. 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 deve...

Benefits:

401(k)
Dental insurance
Paid time off
Vision insurance

Position: Data Scientist
Location: Dallas TX & Charlotte NC
Travel: 100% onsite
Position Type: Full-time

Job Summary:

What Youll 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 Youll 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