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Animal scientist • guelph on
Senior Data Scientist III
RELXHome Based, Canada ON- Promoted
Veterinarian
MHMIGuelph, ON, Canada- Promoted
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Conestoga Meat Packers Ltd.Breslau, ON, Canada- Promoted
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Volunteer SuccessGuelph, ON, CA- Promoted
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RWDIGuelph, ON, CA- Promoted
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Conestoga MeatsBreslau, ON, CA- Promoted
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CEVA SANTE ANIMALEGuelph, ON, CAAnimal Dental Care Assitant Office Manager Maternity Leave
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Animal Care Specialist
SemexGuelph, ON, CAVeterinary Services Manager, Companion Animal
Ceva Santé AnimaleGuelph, ONTARIO, CAAnimal HousingOntario Veterinary College Health Sciences Centre
University of GuelphGuelph, Ontario, Canadapet grooming supervisor
Diamond in the RuffPuslinch, ON, CAManager, Patient Care and Service Delivery
OVC Health Sciences Centre, University of GuelphGuelph, CanadaPopular searches
Senior Data Scientist III
RELXHome Based, Canada ON- Full-time
- Remote
About the Role
The Senior Data Scientist III contributes to new product development by proposing data-driven solutions for complex customer challenges. They use advanced analytical techniques and become subject matter experts. Additionally, they collaborate with other data scientists and engineers to design cutting-edge AI solutions. The role also involves leading AI and machine learning model development, analyzing extensive datasets, and guiding junior team members.
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.
Work in a way that works for you
We promote a healthy work / life balance across the organization. We offer an appealing working prospect for our people. With numerous well-being initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
Working for you
We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer
Health Benefits : Comprehensive, multi-carrier program for medical, dental and vision benefits
Retirement Benefits : 401(k) with match and an Employee Share Purchase Plan
Wellbeing : Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits
Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice