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Data Scientist - Applied AI/Gen AI

127 000 - 177 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist - Applied AI/Gen AI (AI/ML): Building analytical models, simulations, experiments, and production-ready AI data products for biopharma with an accent on machine learning, NLP, forecasting, optimization, and lifecycle management. Focus on deploying robust models, developing optimized code in cloud and high-performance computing environments, and delivering AI/ML solutions with developers, engineers, and MLOps.

Location: Toronto, ON; hybrid with 3 days per week onsite required

Salary: 127,000.00–177,000.00 CAD, including target bonus.

Company

hirify.global is an R&D-driven, AI-powered biopharma company developing medicines and vaccines to improve patients’ lives.

What you will do

  • Apply machine learning, statistics, text mining/NLP, forecasting, and optimization across analytics projects.
  • Build models, algorithms, simulations, and experiments using optimized code and state-of-the-art machine learning technologies.
  • Conduct ML experiments and deliver production-ready models.
  • Use data analysis, visualization, storytelling, and data technologies to define and deliver AI-based data products.
  • Collaborate with developers, engineers, and MLOps to deliver AI/ML solutions.

Requirements

  • Hands-on AI/ML modeling experience with complex datasets and a strong understanding of AI/ML theory.
  • Expertise in most of supervised learning, unsupervised learning, deep learning, reinforcement learning, federated learning, time-series forecasting, Bayesian statistics, and optimization.
  • Experience developing deployable code and deploying models in product-focused, agile environments, including production-ready software development.
  • Comfort working with cloud and high-performance computing environments such as AWS, GCP, Databricks, and Apache Spark.
  • Excellent written and verbal communication, business analysis, data visualization, and data storytelling skills, with the ability to collaborate in a team environment.
  • BS in mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline is required; an MS is preferred.
  • 4+ years of analytical experience required.
  • Expertise in Python, R, or Scala; familiarity with SQL and NoSQL database systems.
  • Knowledge of disciplined AI/ML development, including CI/CD and orchestration, plus Tableau, Power BI, Plotly, or similar tools.
  • Experience with enterprise-level APIs.

Nice to have

  • Experience in life sciences and healthcare.
  • Experience working in a complex global organization.

Culture & Benefits

  • Supportive, future-focused environment with opportunities for promotion or lateral career moves in Canada and internationally.
  • Rewards package recognizing contribution and impact.
  • Healthcare, prevention, wellness, and other employee benefits.
  • Equal opportunity employer with accommodations available during recruitment for persons with disabilities.

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