Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
127к-177к CAD/год
180к CAD240к CADмедиана290к CAD
По похожим ролям (50) ~ 240к CAD/год
На СНГ рынке: $4.4к/мес ($3.6к - $5.9к)
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Company hidden предлагает сильную AI-роль в сфере наук о жизни с понятными обязанностями и современным набором технологий, но зарплата ниже рыночной медианы, а требования охватывают много направлений ML.
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Ниже рынкаШирокий охватСовременный стекИИ в биофармеКарьерные пути
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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