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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist (AI): Building predictive weather and commercial data models for B2B initiatives with an accent on spatio-temporal modeling, time-series forecasting, and large-scale machine learning. Focus on integrating weather feeds with sales data, deploying production-grade inference pipelines, 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.
Build analytics solutions supporting B2B initiatives, with occasional contributions to B2C and advertising technology initiatives.
Optimize model performance, inference pipelines, scalability, and compute costs using distributed frameworks and modern machine learning tools.
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 integrate algorithms into live APIs and scalable data products.
Requirements
3+ years of data science experience, ideally in B2B environments.
Experience with spatio-temporal modeling, time-series forecasting, and weather data intelligence.
Strong Google BigQuery and SQL skills, including window functions, query optimization, and large-scale data manipulation.
Advanced Python skills for statistical modeling, data science, and visualization, with experience using NumPy, SciPy, Scikit-learn, and TensorFlow or PyTorch.
Experience with distributed computing frameworks such as Apache Spark.
Degree in a STEM discipline and strong communication skills for explaining complex concepts to non-technical audiences.
Nice to have
Experience developing and deploying deep learning models.
Experience deploying large language models 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, and paid time off.
Course reimbursement program and hirify.global Learning Academy.
Virtual counseling sessions and free online doctor visits.
Open communication, employee pulse surveys, inclusion initiatives, and an anonymous reporting platform.
Hiring process
Interviews are expected to reflect the candidate’s own experience, thinking, and communication.
AI tools may be used for interview preparation, but real-time AI assistance and automated response tools are not permitted during interviews.
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