Konica Minolta Business Solutions U.S.A., Inc.
Overview
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
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. Data Scientist in Ramsey, New Jersey | Konica Minolta Business Solutions, U.S.A., Inc. #LI-HW1 About Konica Minolta
Konica Minolta Business Solutions is committed to helping clients transform their work environments with a broad portfolio of solutions for a connected and intelligent workplace. Its offerings include IT services, intelligent information management, video security solutions, managed print services, office technology, and industrial and commercial print solutions. The company celebrates milestones such as its 20th anniversary in production print and the ongoing recognition of its bizhub brand. For more information, please visit Konica Minolta online and follow the company on social media. Konica Minolta operates on a North American Shared Services model to harmonize priorities across regions and enhance support for sales administration, logistics and supply chain, marketing, product planning, finance, IT, HR, and legal. Equal Opportunity Employer
Konica Minolta is an equal opportunity and affirmative action employer. We consider all qualified applicants for employment without regard to race, color, religion, creed, national origin, sex, pregnancy, age, sexual orientation, transgender status, gender identity, disability, alienage or citizenship status, marital status or partnership status, genetic information, veteran status or any other characteristic protected under applicable law.
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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
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. Data Scientist in Ramsey, New Jersey | Konica Minolta Business Solutions, U.S.A., Inc. #LI-HW1 About Konica Minolta
Konica Minolta Business Solutions is committed to helping clients transform their work environments with a broad portfolio of solutions for a connected and intelligent workplace. Its offerings include IT services, intelligent information management, video security solutions, managed print services, office technology, and industrial and commercial print solutions. The company celebrates milestones such as its 20th anniversary in production print and the ongoing recognition of its bizhub brand. For more information, please visit Konica Minolta online and follow the company on social media. Konica Minolta operates on a North American Shared Services model to harmonize priorities across regions and enhance support for sales administration, logistics and supply chain, marketing, product planning, finance, IT, HR, and legal. Equal Opportunity Employer
Konica Minolta is an equal opportunity and affirmative action employer. We consider all qualified applicants for employment without regard to race, color, religion, creed, national origin, sex, pregnancy, age, sexual orientation, transgender status, gender identity, disability, alienage or citizenship status, marital status or partnership status, genetic information, veteran status or any other characteristic protected under applicable law.
#J-18808-Ljbffr