US-QA

Summary:

Work Mode: Hybrid

Responsibilities:

• Handle analysis of complex datasets using advanced statistical methods and machine learning techniques to uncover insights that inform strategic business decisions and operational efficiencies.
• Create sophisticated predictive models and data visualizations, utilizing tools like Python, R, and Palantir, to forecast trends, patterns, and anomalies for proactive decision-making, working under limited supervision.
• Develop, document, and disseminate comprehensive methodologies, processes, and analytical findings, ensuring transparency, reproducibility, and facilitating cross-functional knowledge sharing and collaboration.
• Present complex data-driven insights and strategic recommendations to senior stakeholders, effectively translating intricate analytical results into clear, actionable business strategies and influencing key decision-making processes.
• Monitor, maintain, and continuously improve the performance of deployed models, conducting regular reviews, updates, and optimizations to ensure sustained accuracy, relevance, and business impact.
• Interact and collaborate with cross-functional teams, including IT, data engineering, and various business units, to ensure the successful operationalization, integration, and scaling of data science solutions across the organization.

Requirements:

• Minimum Education: Bachelor's or Master's Degree in Information Management, Information Systems, Computer Science, Data Analytics, or equivalent.
• Minimum Experience: Minimum 5 years of experience with a Bachelor's degree in areas such as Data Analytics, Data Modeling, or equivalent OR no prior experience required with a Master's Degree.
• Minimum Certification: N/A

Preferred Skills:

• Data Analysis & Interpretation
• Data Harmonization & Processing
• Data Modeling
• Data Quality Assurance
• Statistical Methods
• Statistical Programming Software
• Business Intelligence Tools
• Data Mining
• Machine Learning Engineering Fundamentals
• Research & Analysis
• Structured Query Language (SQL)
• Regulatory Compliance