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1 день назад

Data Scientist (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
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 (AI) (Python/BigQuery/PyTorch): Building predictive weather and commercial data models that integrate weather feeds with client sales data to forecast demand, quantify operational risk, and optimize advertising performance with an accent on spatio-temporal modeling, time-series forecasting, and scalable machine learning. Focus on deploying and monitoring production-grade model lifecycles, scaling inference with distributed frameworks, and embedding predictive algorithms into live APIs.

Location: Hybrid work at the Oakville, Canada location; candidates must be eligible to work in Canada

Company

hirify.global develops weather intelligence and commercial data products, including The Weather Network.

What you will do

  • Design, train, and deploy predictive weather, spatio-temporal, and time-series models using weather feeds and client sales data.
  • Analyze complex meteorological datasets and translate probabilistic trends into strategic recommendations.
  • Develop analytics solutions for B2B initiatives, with occasional contributions to B2C and Adtech initiatives.
  • Optimize machine learning performance and inference pipelines with distributed frameworks such as PySpark, Dask, and Ray.
  • Own testing, deployment, monitoring, documentation, and the full lifecycle of production models.
  • Collaborate with Data Engineers, Product Managers, Sales, Marketing, Customer Support, and Revenue leaders to embed algorithms into live APIs and scalable data products.

Requirements

  • 3+ years of data science experience in B2B environments, including spatio-temporal modeling, time-series forecasting, and weather data intelligence.
  • Degree in Data Science, Statistics, Computer Science, or another quantitative STEM discipline.
  • Advanced Python skills for statistical modeling, data science, and visualization.
  • High proficiency in Google BigQuery and SQL, including window functions, query optimization, and large-scale data manipulation.
  • Experience with NumPy, SciPy, Scikit-learn, TensorFlow or PyTorch, and distributed computing frameworks such as Apache Spark.
  • Strong communication skills and the ability to explain complex concepts to non-technical audiences.

Nice to have

  • Experience developing and deploying deep learning models.
  • Experience deploying LLMs or retrieval-augmented generation pipelines.
  • Experience scaling models across large datasets with distributed processing frameworks.

Culture & Benefits

  • Flexible hybrid work environment.
  • Retirement savings matching plan, personal spending account, summer hours, and paid time off.
  • Course reimbursement and access to the hirify.global Learning Academy.
  • Virtual mental health counseling and free online doctor visits.
  • Open communication, employee pulse surveys, an inclusion and diversity team, and anonymous reporting.

Hiring process

  • Interviews are designed to provide a fair and authentic assessment based on the candidate’s own experience and thinking.
  • Real-time AI assistance and automated response tools are not permitted during interviews.

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