
Data Scientist
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in Brazil, +2 more countries.
• Create and enhance forecasting, predictive analytics, and decision-support solutions.
• Examine demand patterns, seasonality, market trends, and critical business drivers.
• Enhance forecast precision by identifying bias sources and suggesting process improvements.
• Design, develop, and sustain dashboards, key performance indicators, and analytical tools.
• Collaborate with Demand Planning, Commercial, Supply Planning, Information Technology, and external partners.
• Prepare, validate, and analyze extensive and complex datasets.
• Develop, test, implement, and maintain statistical and machine learning models.
• Support comprehensive project delivery, covering discovery, design, development, testing, deployment, adoption, and knowledge transfer.
• Assess emerging technologies, analytical methods, and automation possibilities.
• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Operations Research, Supply Chain, Industrial Engineering, Computer Science, or a related field.
• Experience in Data Science, Advanced Analytics, Forecasting, Demand Planning, Supply Chain Analytics, or a similar discipline.
• Demonstrated experience in delivering analytical solutions that provide measurable business value.
• Strong grasp of statistical analysis, forecasting methods, and predictive modeling techniques.
• Experience in developing and implementing machine learning models in a business context.
• Proficient in Python and/or R for data analysis, modeling, and automation.
• Solid understanding of Structured Query Language (SQL), data management, and data preparation methods.
• Experience utilizing data visualization and reporting tools to effectively communicate insights.
• Excellent communication and stakeholder management skills, with the ability to convey complex concepts to both technical and non-technical audiences.
• Experience supporting Sales and Operations Planning (S&OP) or Integrated Business Planning processes.
• Knowledge of demand forecasting platforms, supply chain planning systems, or advanced analytics technologies.
• Proven continuous improvement mindset with a passion for innovation, automation, and capability enhancement.
• Continuous learning and professional development opportunities.
• Access to cutting-edge technologies, analytical tools, and digital transformation initiatives.
• Competitive rewards package.
• Flexible work arrangements aligned with local policies.
• Collaborative and inclusive work environment.
• Opportunity to engage in high-impact global initiatives.
• Exposure to cross-functional teams and senior business stakeholders across various regions.
RealPage, Inc.
Northbeam
The Ohio State University, Main Campus
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