Back to Jobs
Cb

Data Scientist at Cb

Cb Melcher-Dallas, IA

Job Description

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 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 ScientistLocation: Dallas TX & Charlotte NCTravel: 100% onsitePosition Type: Full-timeJob Summary:What Youll Get to Do: Perform statistical analysis clustering and probability modeling to drive insights and inform AI-driven solutionsAnalyze graph-structured data to detect anomalies extract probabilistic patterns and support graph-based intelligenceBuild NLP pipelines with a focus on NER entity resolution ontology extraction and scoringContribute to AI/ML engineering efforts by developing testing and deploying data-driven models and servicesApply ML Ops fundamentals including experiment tracking metric monitoring and reproducibility practicesCollaborate with cross-functional teams to translate analytical findings into production-grade capabilitiesPrototype quickly iterate efficiently and help evolve data science best practices across the teamWhat Youll Bring with You: Solid experience in statistical modelling clustering techniques and probability-based analysisHands-on expertise in graph data analysis including anomaly detection and distribution pattern extractionStrong NLP skills with practical experience in NER entity/ontology extraction and related evaluation methodsAn 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 metricsProficiency in Python and common data science/AI librariesStrong communication skills and the ability to work collaboratively in fast-paced applied AI environmentsIf 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 jobBest RatesContact #Please dont hesitate to contact me for any questions you may have. All employment is decided based on qualifications merit and business need.RegardsKaren KhursheedRecruitment SpecialistiQuasar LLCCleared Recruitment Proposal Development TechnologyDirect: Main: Ext. 559Hours: 6:30 a.m. to 3:30 p.m. ESTiQuasar 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 Key Skills Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills Employment Type : Full-Time Experience: years Vacancy: 1 Yearly Salary Salary: 90000 - 95000

Resume Suggestions

Highlight relevant experience and skills that match the job requirements to demonstrate your qualifications.

Quantify your achievements with specific metrics and results whenever possible to show impact.

Emphasize your proficiency in relevant technologies and tools mentioned in the job description.

Showcase your communication and collaboration skills through examples of successful projects and teamwork.

Explore More Opportunities