Data Scientist (AI)

TL;DR

Data Scientist (AI/GCP): Building and optimizing data and AI solutions, particularly in time-series forecasting and supply-chain optimization, with an accent on machine learning model selection, data pipeline engineering, and analytical rigor. Focus on contributing well-tested Python code, architecting cloud data platform components, and communicating analytical findings in a compelling way.

Location: Remote within Canada, specifically from the provinces of Ontario or Québec, or the city of Vancouver.

Salary: CAD 80,000–130,000 annually

Company

hirify.global is an experience innovation company that partners with global brands like L’Oréal, Mars, and Audi to drive transformation at the intersection of data, AI, creativity, and technology.

What you will do

• Select and implement machine learning models for time-series forecasting and supply-chain optimization.
• Contribute well-tested object-oriented Python code and engineer robust data pipelines and products.
• Analyze raw data sets, conduct deep dive analysis, and design KPIs to guide business decisions.
• Communicate analytical findings intuitively and visually, creating interactive dashboards via Tableau, PowerBI, or custom web applications.
• Architect cloud data platform components and infrastructure supporting BI and ML data pipelines, with expertise in GCP.
• Build and track project timelines, dependencies, and risks, while gathering stakeholder requirements and conducting technical due diligence.

Requirements

• Hands-on experience with GCP services including BigQuery, Vertex AI, Looker, Pub/Sub, Cloud Functions, Cloud Storage, and Cloud Run.
• More than 4 years of industry experience in similar roles, developing predictive or inferential statistical models, or a relevant Masters/PhD degree in quantitative studies.
• Proficiency in programmatic languages such as SQL, Python, and R, along with experience in statistical and machine learning libraries.
• Experience defining and reporting model acceptance metrics (e.g., precision/recall, MAPE) with documented backtesting, and delivering production model artifacts.
• Advanced English skills required, especially for Québec-based positions, as the role involves regular communication with clients and colleagues outside of Québec.
• Must be based in the provinces of Ontario or Québec, or the city of Vancouver, Canada.

Nice to have

• Experience contributing to packaged software libraries in open-source or industry repositories.
• Proficiency in visualization/reporting tools such as Tableau, PowerBI, R ggplot2, Python matplotlib/seaborn/bokeh, or Javascript D3.
• Proficiency in Looker and SQL-first analytical storytelling.
• Proficiency scripting in a UNIX environment and with big data tools (e.g., Spark, Hive).
• Proficiency with cloud architecture components (AWS, Azure, Google) and GCP architecture for secure analytics products.
• Proficiency with data pipeline software such as Airflow, Luigi, or Prefect.
• Ability to turn raw data and ambiguous business questions into distilled findings and recommendations.
• Proficiency in front and back-end web application development stacks and frameworks (Javascript, HTML, CSS, React/Vue/AngularJS), including API design (REST/GraphQL).
• Experience leading and managing technical data/analytics/machine learning projects.

Culture & Benefits

• Comprehensive insurance plan (Gold, Silver, Bronze options) with up to 80% employer contribution, including short and long-term disability coverage.
• Virtual healthcare services via Dialogue by Sun Life, including access to the Employee and Family Assistance Program and a complete mental health support program.
• A $500 Personal Spending Account for various reimbursements, and a retirement plan (RRSP/DPSP) with 100% employer match up to 4%.
• Access to a flexible vacation policy, company closure during winter holidays, and flexible scheduling throughout the year.
• Personal Technology Reimbursement of $30/month, offered from day one.

Hiring process

• The Talent Acquisition team will review your application, and if your skills align, they will reach out for next steps.
• Your CV should cover key information on relevant experiences and expertise; no age, gender, marital status, or headshot required.
• Commitment to inclusion and accessibility, with reasonable accommodations available during the interview process.