Konica Minolta Business Solutions U.S.A., Inc.

About the Company

Konica Minolta Business Solutions U.S.A., Inc. is revolutionizing the Workplace of the Future(tm). From intelligent automation and security solutions to cutting-edge print technology, we help organizations streamline workflows, safeguard data, and drive productivity. With a 150-year legacy of innovation and a future fueled by AI, cloud, and IoT, we empower businesses of all sizes to work smarter. Whether it's optimizing document management, strengthening IT infrastructure, or pushing the boundaries of print possibilities, we create seamless experiences that drive success. But innovation isn't just about technology -- it's about people, and our employees are at the heart of everything we do. Here, you'll join forces with industry-leading experts, tackle meaningful challenges, and shape the future of business. Along the way, you'll benefit from professional growth opportunities, hybrid work flexibility, and a culture that truly values collaboration and inclusivity. Together, let's redefine what's possible. ......................... Winner of the 2025 America's Best Large Employers - Forbes First place in Brand Loyalty in the (CLEI) for the 18th consecutive year - Brand Keys Customer Loyalty Engagement Index(r) Winner of the 2025 A3 Line of the Year Award (One i-Series) - Keypoint Intelligence Global 100 Most Sustainable Corporations .........................

Listed Jobs

Company Name

Konica Minolta Business Solutions U.S.A., Inc.

Job Title

Data Scientist

Job Description

Job Title: Data Scientist Role Summary: Apply advanced statistical and machine learning techniques to build, validate, and deploy predictive models that drive business decisions. Translate complex data into actionable insights and communicate findings to technical and non‑technical stakeholders. Expectations: - Deliver high‑quality predictive models on schedule. - Translate analytical results into clear, business‑relevant recommendations. - Collaborate across functions to identify data‑driven improvement opportunities. - Maintain rigorous documentation and reproducible workflows. Key Responsibilities: - Design, develop, and deploy predictive models (GLMs, regression, classification, time‑series ARIMA/Prophet, survival analysis). - Engineer features, select variables, and apply dimensionality reduction (PCA) for optimal model performance. - Evaluate models using ROC/AUC, precision/recall, calibration curves, and business metrics. - Conduct A/B testing, factorial experiments, and DOE (ANOVA) to validate hypotheses and optimize processes. - Apply causal inference methods (propensity scores, DAGs) to uncover relationships and support decision‑making. - Build interpretable models with SHAP, LIME and document explanations for stakeholders. - Develop dashboards and reports in Looker/LookML to present insights. - Communicate insights through storytelling for diverse audiences. Required Skills: - Proficiency in Python (NumPy, pandas, scikit‑learn, TensorFlow, PyTorch). - SQL expertise (BigQuery dialect). - Experience with version control (Git), containerization (Docker), and notebooks (Jupyter). - Strong statistical knowledge (regression, classification, time‑series, survival analysis). - Experimental design skills (A/B testing, DOE, ANOVA). - Knowledge of causal inference techniques. - Ability to build interpretable models (SHAP, LIME). - Familiarity with BI tools (Looker, LookML). - Excellent communication and collaboration skills. Required Education & Certifications: - Bachelor’s degree in Statistics, Computer Science, Engineering, or related quantitative field (Master’s preferred). ---

Ramsey, United states

Hybrid

10-09-2025