Senior Data Scientist
Key Skills for This Role
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Qualifications
- University degree or college diploma related to Information Technology.
- 5+ years of experience applying statistical analysis, machine learning, forecasting, optimization, or related analytical techniques to solve business problems and deliver measurable outcomes.
- Expert-level proficiency in Python, SQL, and machine learning frameworks, with demonstrated experience designing scalable analytical solutions and deploying models into production environments.
- Experience leading complex analytical initiatives, establishing best practices, and guiding model development, monitoring, governance, and continuous improvement activities.
- Demonstrated ability to partner with senior business stakeholders to identify opportunities, translate business requirements into analytical solutions, and influence strategic decisions through data-driven insights.
- Experience with cloud-based AI platforms, MLOps, Generative AI, LLMs, Agentic AI, Azure AI services, or enterprise-scale AI architecture is strongly preferred.
Responsibilities
- Framing of analytics problems to drive value
- Assessment of opportunity ROI
- Developing the case for change
- Leading initiatives end to end
- Data Discovery, Sourcing and modeling
- Exploratory data analysis and feature engineering
- Algorithm selection, training, testing, and deployment
- Model deployment and maintenance
- Coach and mentor less experienced data scientists in the delivery of value through data science
- Responsible to provide solution recommendations/designs for their domain.
About Irving Woodlands
Diversified conglomerate operating in forestry, manufacturing, and transportation sectors.
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