Senior Data Scientist

 
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Office Location: <\/b> Toronto
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Employment Type: <\/b> Permanent
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Role Type: <\/b> New position –
current requirement
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Work Arrangement: <\/b> Hybrid (2
days in office per week)
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Position Responsibilities: <\/b>
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Predictive Modeling &
Forecasting: <\/b> 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). 
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End -to -End GCP Deployment: <\/b> 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. 
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Data Wrangling &
Processing: <\/b> 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. 
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Business Partnership &
Insights: <\/b> 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. 
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Mentorship & Leadership: <\/b> 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. 
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Continuous Innovation: <\/b> Constantly
upskill and remain fully updated with the evolving data and analytics
community, integrating new traditional ML techniques and exploring
emerging technologies. 
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Requirements <\/h3>

• 5+ years of applied industry experience in data
  science, statistical analysis, and machine learning. 
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• Ph.D. or Master's degree in Computer
  Science, Mathematics, Statistics, or a related quantitative field. 
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• 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). 
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• Advanced, production -level programming skills
  in  Python <\/b> (Pandas, Scikit -Learn, Statsmodels)
  and highly complex  SQL <\/b> for large -scale data manipulation. 
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• Strong, hands -on proficiency in the
  Google Cloud Platform ecosystem. Experience building, training, and deploying
  models using Vertex AI, BigQuery, and Google Cloud Storage. 
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• Exceptional ability to distill complex data into
  meaningful business insights. Effective written and verbal communication skills
  are mandatory for cross -functional collaboration. 
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  Preferred Qualifications: <\/b>
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  • Knowledge or hands -on experience with Deep Learning
    architectures and Generative AI (e.g., LLMs, building Retrieval -Augmented
    Generation (RAG) pipelines). 
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  • Previous experience applying data science
    within the retail sector (e.g., supply chain forecasting, pricing
    optimization, customer lifetime value). 
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  • Familiarity with containerizing workloads (Docker)
    and using orchestration tools (like Google Cloud Composer / Apache
    Airflow) to schedule and trigger complex ML training pipelines. 
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  • Familiarity with tracking and documentation tools
    such as JIRA and Confluence. 
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    Benefits <\/h3>

    Salary Range: <\/b> CAD $100,000
    - $115,000/year
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    The final compensation offered
    will depend on local market conditions and geographic location, as well as
    job -related factors such as the candidate’s knowledge, skills, qualifications,
    relevant experience, and education/training. Compensation may also include
    additional components such as benefits, and/or other incentives, where
    applicable. In 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.
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    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.
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