Senior Data Scientist

About the Job: We are seeking a business-focused Data Scientist to use data science advanced analytics Machine Learning and AI to generate insights improve customer experience optimize operations and support strategic decision-making across business functions. The ideal candidate will combine strong technical skills with business understanding and the ability to work closely with business product data engineering and technology teams.

Office Location: Toronto

Employment Type: Permanent

Role Type: New position current requirement

Work Arrangement: Hybrid (2 days in office per week)

Position Responsibilities:

Predictive Modeling & Forecasting: Design train and validate robust traditional machine learning models and advanced time-series forecasting algorithms (e.g. for demand planning inventory optimization and sales forecasting).

End-to-End GCP Deployment: Architect and productionize scalable predictive pipelines leveraging Google Cloud Platform (e.g. BigQuery Vertex AI). Transition models from local/development environments to highly optimized automated cloud deployments.

Data Wrangling & Processing: Ingest organize and manipulate billions of rows of data from dozens of disparate sources using highly efficient SQL and Python scripts to ensure data quality and model reliability.

Business Partnership & Insights: Act as a strategic bridge between technical and non-technical teams. Translate complex model outputs into actionable business strategies presenting findings test results and performance analyses to senior management.

Mentorship & Leadership: Provide technical guidance code reviews and architectural support to junior data scientists and ML engineers navigating complex real-world business problems on a case-by-case basis.

Continuous Innovation: Constantly upskill and remain fully updated with the evolving data and analytics community integrating new traditional ML techniques and exploring emerging technologies.

• 5 years of applied industry experience in data science statistical analysis and machine learning.
  
• Ph.D. or Masters degree in Computer Science Mathematics Statistics or a related quantitative field.
  
• Deep expertise in traditional machine learning algorithms (regression classification clustering tree-based models) and a strong specialization in forecasting techniques (e.g. ARIMA Prophet exponential smoothing).
  
• Advanced production-level programming skills in Python (Pandas Scikit-Learn Statsmodels) and highly complex SQL for large-scale data manipulation.
  
• Strong hands-on proficiency in the Google Cloud Platform ecosystem. Experience building training and deploying models using Vertex AI BigQuery and Google Cloud Storage.
  
• Exceptional ability to distill complex data into meaningful business insights. Effective written and verbal communication skills are mandatory for cross-functional collaboration.
  

Preferred Qualifications:

• Knowledge or hands-on experience with Deep Learning architectures and Generative AI (e.g. LLMs building Retrieval-Augmented Generation (RAG) pipelines).
  
• Previous experience applying data science within the retail sector (e.g. supply chain forecasting pricing optimization customer lifetime value).
  
• Familiarity with containerizing workloads (Docker) and using orchestration tools (like Google Cloud Composer / Apache Airflow) to schedule and trigger complex ML training pipelines.
  
• Familiarity with tracking and documentation tools such as JIRA and Confluence.
  

Salary Range: CAD $100000 - $115000/year

The final compensation offered will depend on local market conditions and geographic location as well as job-related factors such as the candidates knowledge skills qualifications relevant experience and education/training. Compensation may also include additional components such as benefits and/or other incentives where accordance with new employment standards requirements we retain copies of this job posting and applicant information for three (3) years after the posting is removed. We do not use AI technology; all applications are also reviewed by our recruitment team.

Infoya is an equal opportunity employer committed to diversity and inclusion. We welcome applications from all qualified individuals regardless of race color religion sex sexual orientation gender identity national origin age disability protected veteran status aboriginal status or any other legally protected factors.