Soil scientist Jobs in Quebec City, QC
Senior Data Scientist III
LexisNexis Canada Inc. CompanyQuebec- Promoted
Coordonnateur.rice des travaux électriques - réseaux collecteurs / Sous-stations
Borea Construction, Québec, CA
Environmental Technician – Environmental Characterization and Rehabilitation
GROUPE CONSEIL UDA INC.Québec, QC, CA- Promoted
Scientifique des données
AirudiGreater Montreal Metropolitan Area, Canada
Responsable technique principal, Sciences de l’environnement — temps plein (Québec City, Québec, Canada)
XperaQuebec City, Quebec, Canada, Pario Engineering and Environmental Sciences
Senior Data Architect
CoveoQuebec City
Scientifique en Traitement de Signal Hyperspectral
GORHQuébec, Qc- Promoted
Analytical Scientist I - Internship
Syneos HealthQuebec City, QC, Canada
Nouveaux gradué(e)s en géotechnique / Geotechnical New Graduate
AtkinsRéalisQuébec, QC, CA
Support Engineer II, Geotechnical
Bentley SystemsHome or Hybrid, QC, CA
SR Specialty Engineer - Trench Safety
0050 United Rentals of Canada, Inc.Levis, QC, CAN
Geotechnical Engineer
BBA ConsultantsQuebec, QC, CA
Senior Data Scientist - MTL or QC City - Bilingual (FR-ENG)
Intact Financial CorporationQuébec, Quebec, Canada
Project Manager - Soil Improvement
JumpProvince of Quebec, Canada
Reality Capture Sales Representative
EightSix NetworkQCSenior Data Scientist III
LexisNexis Canada Inc. CompanyQuebec- Full-time
- Remote
Responsibilities
Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.
Leading the development of advanced AI and machine learning models to solve complex business problems
Analyzing large datasets to identify patterns and trends that can inform AI development.
Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.
Leading the automation and lifecycle management of sophisticated data systems.
Mentoring junior data scientists and provide guidance on AI and machine learning best practices.
Designing APIs for disseminating data science outputs to various business units.
Overseeing the scaling of production systems to meet growing demands.
Requirements
Possess an advanced or Master's education in Computer Science, Mathematics, Statistics, or a related field.
Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.
Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.
Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.
Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.
Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests
Possess advanced programming skills in Python, R, or other relevant languages for data analysis.
LexisNexis, a division of RELX, is an equal opportunity employer : qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form : , or please contact 1-855-833-5120.
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