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Addmore Group Inc.
Data Scientist - AI & Advanced AnalyticsAddmore Group Inc. • Remote, QC
Data Scientist - AI & Advanced Analytics

Data Scientist - AI & Advanced Analytics

Addmore Group Inc. • Remote, QC
9 days ago
Job type
  • Full-time
  • Remote
Job description
Our client is looking for a Data Scientist – AI & Advanced Analytics
Duration : 3 months with extension possible
Location: Remote
Position Summary
The Data Scientist is responsible for developing advanced analytics, machine learning, optimization, and Generative AI solutions that support business decision-making and operational improvement. The role partners with business stakeholders and technical teams to identify opportunities, build analytical solutions, validate outcomes, and support production adoption in a responsible and governed manner.
Key Responsibilities
  • Translate business problems into analytical, machine learning, and AI solution approaches.
  • Define success metrics, KPIs, and measurable value outcomes for data science and AI initiatives.
  • Perform exploratory data analysis, statistical analysis, data profiling, feature engineering, and model validation.
  • Develop predictive, prescriptive, and optimization models including forecasting, classification, clustering, recommendation, anomaly detection, and scenario analysis.
  • Design, test, and evaluate Generative AI, RAG, and agentic AI solution components where applicable.
  • Create model evaluation frameworks covering accuracy, reliability, explainability, adoption, business impact, and responsible AI considerations.
  • Prepare clear insights, recommendations, and technical documentation for both technical and non-technical audiences.
  • Collaborate with Data Engineers, AI Architects, Product Owners, Business Analysts, and platform teams to move solutions from prototype to production.
Required Qualifications
  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related field.
  • 3–8 years of experience in applied data science, machine learning, advanced analytics, or AI delivery.
  • Strong hands-on experience with Python, SQL, statistics, machine learning, and data visualization.
  • Experience with machine learning libraries such as scikit-learn, XGBoost, TensorFlow, PyTorch, or equivalent tools.
  • Experience working with cloud-based data and analytics platforms such as Microsoft Fabric, Databricks, Azure ML, or similar environments.
  • Strong communication skills with the ability to explain model results, assumptions, limitations, and recommendations to business stakeholders.
Preferred Qualifications
  • Experience with CPG, retail, manufacturing, supply chain, finance, commercial analytics, or category management data.
  • Experience with Azure AI Foundry, Copilot Studio, Fabric, Databricks, or comparable AI/analytics platforms.
  • Understanding of MLOps, model monitoring, Responsible AI, data privacy, and production deployment practices.
  • Experience with experimentation, A/B testing, causal inference, forecasting, optimization, or decision intelligence.
Core Competencies
  • Business problem framing and analytical thinking.
  • Applied machine learning and statistical modeling.
  • Data storytelling and stakeholder communication.
  • Experimentation, validation, and continuous improvement.
  • Collaboration across business, data, platform, and architecture teams.
  • Data Engineer – Enterprise Data & AI Platform
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Data Scientist - AI & Advanced Analytics • Remote, QC

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