Konica Minolta Business Solutions Canada
Overview
Data Scientist role at Konica Minolta Business Solutions Canada. We’re seeking a highly skilled and curious Data Scientist to join our team and drive impactful insights through advanced modeling, experimentation, and data storytelling. This role is ideal for someone who thrives at the intersection of statistical rigor, machine learning, and business strategy.
Responsibilities
Develop and deploy predictive models using techniques such as GLMs, regression, classification, and time series forecasting (ARIMA, Prophet).
Engineer and select features to optimize model performance and interpretability.
Evaluate models using metrics like ROC/AUC, precision/recall, and calibration.
Conduct A/B testing and design experiments (DOE) to validate hypotheses and optimize processes.
Apply causal inference methods (e.g., propensity scores, DAGs) to uncover relationships and drive decision-making.
Build interpretable models using SHAP and LIME to explain predictions and support stakeholder understanding.
Create dashboards and reports in Looker, leveraging LookML for semantic modeling.
Communicate insights through compelling data storytelling tailored to technical and non-technical audiences.
Collaborate cross-functionally to identify opportunities for data-driven improvements.
Tools & Technologies
Programming: Python (NumPy, pandas, scikit-learn, TensorFlow, PyTorch), SQL (BigQuery dialect)
Version Control & Deployment: Git, Docker
Notebooks & Platforms: Jupyter Notebooks, Vertex AI Workbench
Visualization & BI: Looker, LookML
Qualifications
Strong foundation in statistical modeling and machine learning.
Proven ability to translate complex data into actionable insights.
Experience working with large datasets and cloud-based data warehouses.
Excellent communication skills and a collaborative mindset.
Preferred Experience
Built predictive maintenance models using survival analysis and time-to-failure regression, improving equipment uptime by 18%.
Applied multivariate regression and PCA to identify key process variables affecting product quality.
Designed and executed factorial experiments with ANOVA for production optimization.
Developed interpretable models using SHAP to explain variability in defect rates across production lines.
What We’re Looking For
Strong foundation in statistical modeling and machine learning.
Proven ability to translate complex data into actionable insights.
Experience working with large datasets and cloud-based data warehouses.
Excellent communication skills and a collaborative mindset.
Ready to make an impact with data? Apply now and help us shape smarter decisions through science and storytelling.
About Us Konica Minolta Business Solutions Canada is part of Konica Minolta’s North American operations. We partner with clients to support their digital transformation through an expansive portfolio of business technology offerings, including IT services, intelligent information management, security solutions, managed print services, and office technology. For more information, please visit Konica Minolta online.
Legal EOE Statement: Konica Minolta is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, religion, creed, national origin, sex, pregnancy, age, sexual orientation, gender identity, disability, veteran status, or any other characteristic protected by applicable law.
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Data Scientist role at Konica Minolta Business Solutions Canada. We’re seeking a highly skilled and curious Data Scientist to join our team and drive impactful insights through advanced modeling, experimentation, and data storytelling. This role is ideal for someone who thrives at the intersection of statistical rigor, machine learning, and business strategy.
Responsibilities
Develop and deploy predictive models using techniques such as GLMs, regression, classification, and time series forecasting (ARIMA, Prophet).
Engineer and select features to optimize model performance and interpretability.
Evaluate models using metrics like ROC/AUC, precision/recall, and calibration.
Conduct A/B testing and design experiments (DOE) to validate hypotheses and optimize processes.
Apply causal inference methods (e.g., propensity scores, DAGs) to uncover relationships and drive decision-making.
Build interpretable models using SHAP and LIME to explain predictions and support stakeholder understanding.
Create dashboards and reports in Looker, leveraging LookML for semantic modeling.
Communicate insights through compelling data storytelling tailored to technical and non-technical audiences.
Collaborate cross-functionally to identify opportunities for data-driven improvements.
Tools & Technologies
Programming: Python (NumPy, pandas, scikit-learn, TensorFlow, PyTorch), SQL (BigQuery dialect)
Version Control & Deployment: Git, Docker
Notebooks & Platforms: Jupyter Notebooks, Vertex AI Workbench
Visualization & BI: Looker, LookML
Qualifications
Strong foundation in statistical modeling and machine learning.
Proven ability to translate complex data into actionable insights.
Experience working with large datasets and cloud-based data warehouses.
Excellent communication skills and a collaborative mindset.
Preferred Experience
Built predictive maintenance models using survival analysis and time-to-failure regression, improving equipment uptime by 18%.
Applied multivariate regression and PCA to identify key process variables affecting product quality.
Designed and executed factorial experiments with ANOVA for production optimization.
Developed interpretable models using SHAP to explain variability in defect rates across production lines.
What We’re Looking For
Strong foundation in statistical modeling and machine learning.
Proven ability to translate complex data into actionable insights.
Experience working with large datasets and cloud-based data warehouses.
Excellent communication skills and a collaborative mindset.
Ready to make an impact with data? Apply now and help us shape smarter decisions through science and storytelling.
About Us Konica Minolta Business Solutions Canada is part of Konica Minolta’s North American operations. We partner with clients to support their digital transformation through an expansive portfolio of business technology offerings, including IT services, intelligent information management, security solutions, managed print services, and office technology. For more information, please visit Konica Minolta online.
Legal EOE Statement: Konica Minolta is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, religion, creed, national origin, sex, pregnancy, age, sexual orientation, gender identity, disability, veteran status, or any other characteristic protected by applicable law.
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