About the role
Role: Data Scientist Location: Mississauga, ON Employment type: Fulltime Permanent
Experience Required: 5-7 Years
Role Overview: We are seeking a highly skilled and experienced Data Scientistto design, build, and deploy scalable machine learning solutions. The ideal candidate will have strong expertise in Python, advanced SQL, and a deep understanding of statistical modeling and machine learning techniques, with proven experience delivering end-to-end data science solutions.
Key Responsibilities: Lead end-to-end model development: from problem definition to production deployment Develop, validate, and optimize machine learning models for business use cases Perform data analysis, feature engineering, and model evaluation Design and execute A/B tests and experiments Collaborate with cross-functional teams to translate business requirements into data science solutions Ensure model performance, scalability, and reliability in production environments Optimize data workflows and improve query performance
Required Skills: Programming & Data Science Expert-level proficiency in Python Strong experience with: Pandas, NumPy, SciPy Scikit-learn, Statsmodels Matplotlib, Seaborn XGBoost, LightGBM TensorFlow and/or PyTorch SQL & Data Engineering
Advanced SQL expertise including: Complex joins, CTEs, and window functions Query optimization and performance tuning Experience in data modeling and schema design Core Data Science Knowledge
Strong understanding of: Statistics and hypothesis testing Machine Learning & Predictive Modeling Feature Engineering Model Validation & Performance Optimization Experimental Design and A/B Testing Preferred / Nice-to-Have Skills
Experience in: Natural Language Processing (NLP) Time Series Forecasting Recommendation Systems
Exposure to: Generative AI / LLM applications MLOps and model deployment frameworks Visualization tools: Power BI or Tableau Cloud platforms: Azure ML, AWS SageMaker, or GCP Vertex AI
Not the right fit? Search for Data Scientist jobs in Mississauga, Ontario, Canada
About Capgemini
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
Get The Future You Want | www.capgemini.com
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About the role
Role: Data Scientist Location: Mississauga, ON Employment type: Fulltime Permanent
Experience Required: 5-7 Years
Role Overview: We are seeking a highly skilled and experienced Data Scientistto design, build, and deploy scalable machine learning solutions. The ideal candidate will have strong expertise in Python, advanced SQL, and a deep understanding of statistical modeling and machine learning techniques, with proven experience delivering end-to-end data science solutions.
Key Responsibilities: Lead end-to-end model development: from problem definition to production deployment Develop, validate, and optimize machine learning models for business use cases Perform data analysis, feature engineering, and model evaluation Design and execute A/B tests and experiments Collaborate with cross-functional teams to translate business requirements into data science solutions Ensure model performance, scalability, and reliability in production environments Optimize data workflows and improve query performance
Required Skills: Programming & Data Science Expert-level proficiency in Python Strong experience with: Pandas, NumPy, SciPy Scikit-learn, Statsmodels Matplotlib, Seaborn XGBoost, LightGBM TensorFlow and/or PyTorch SQL & Data Engineering
Advanced SQL expertise including: Complex joins, CTEs, and window functions Query optimization and performance tuning Experience in data modeling and schema design Core Data Science Knowledge
Strong understanding of: Statistics and hypothesis testing Machine Learning & Predictive Modeling Feature Engineering Model Validation & Performance Optimization Experimental Design and A/B Testing Preferred / Nice-to-Have Skills
Experience in: Natural Language Processing (NLP) Time Series Forecasting Recommendation Systems
Exposure to: Generative AI / LLM applications MLOps and model deployment frameworks Visualization tools: Power BI or Tableau Cloud platforms: Azure ML, AWS SageMaker, or GCP Vertex AI
Not the right fit? Search for Data Scientist jobs in Mississauga, Ontario, Canada
About Capgemini
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
Get The Future You Want | www.capgemini.com