Live opening · Posted 12 days ago

Senior Data Scientist

N2P Systems · Toronto, ON (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 12 days ago
CompanyN2P Systems
LocationToronto, ON (Remote)
Work modeNo
SourceLinkedin
Listed12 days ago

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About the role

Description supplied by the original job listing.

We are seeking an experienced Senior Data Scientist to support Machine Learning and Data Science initiatives within our AI Center of Excellence. The successful candidate will bring strong expertise in applied machine learning, statistical modeling, analytics, and analytical problem-solving, with the ability to translate complex business requirements into practical data science solutions.
Key Responsibilities
Develop, evaluate, and interpret machine learning models, including regression and classification models.
Perform data exploration, data preparation, feature engineering, model development, validation, and evaluation.
Apply predictive modeling, forecasting, experimentation, and A/B testing to solve business problems.
Translate business requirements into data-driven solutions and actionable insights.
Communicate analytical findings and model outputs effectively to technical and business stakeholders.
Collaborate with Data Scientists, ML Engineers, Data Engineers, and business partners.
Support the delivery of enterprise AI and analytics solutions from initial exploration through production readiness.
Contribute to use cases such as churn prediction, personalization, recommendation systems, marketing optimization, anomaly detection, and experimentation.
Required Qualifications
Strong hands-on experience with Python and SQL.
Strong understanding of Machine Learning and Statistical Modeling.
Experience with predictive modeling, forecasting, classification, and regression.
Hands-on experience with experimentation and A/B testing.
Strong knowledge of feature engineering, model evaluation, and model validation.
Excellent analytical, problem-solving, and communication skills.
Ability to work independently and effectively collaborate with cross-functional teams.
Experience with Tableau, Power BI, or similar visualization platforms.
Preferred Qualifications
Experience with Azure, Azure ML, Databricks, or MLflow.
Experience delivering machine learning solutions in an enterprise environment.

Work arrangement
No

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