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Predictive Analytics Leader
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We are seeking a highly skilled and motivated Predictive Analytics Leader to join our dynamic team at Neksjob Corporation. This position involves leading a team of data scientists and analysts in building and deploying advanced predictive models that provide actionable insights and drive strategic business decisions.
Key Responsibilities- Team Leadership & Management: Lead, mentor, and manage a team of data scientists, analysts, and modelers, fostering a collaborative and results-driven culture.
- Predictive Modeling: Develop, implement, and optimize predictive models to analyze trends, behaviors, and outcomes. Utilize techniques such as machine learning, statistical analysis, and time-series forecasting.
- Data Strategy & Insights: Work with cross-functional teams to identify business challenges, translate them into analytical problems, and create actionable insights. Provide data-driven recommendations that support strategic decision-making.
- Stakeholder Collaboration: Engage with business leaders and departments (e.g., marketing, finance, operations) to understand objectives and tailor analytics solutions to meet their needs.
- Data Quality & Integrity: Ensure the accuracy, completeness, and consistency of data used for predictive modeling. Implement best practices for data governance.
- Technology & Tools: Stay updated on industry trends, best practices, and emerging technologies related to predictive analytics, and ensure the use of cutting-edge tools and platforms.
- Reporting & Visualization: Translate complex data into clear, actionable insights through reports, dashboards, and visualizations to communicate findings to both technical and non-technical stakeholders.
- Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field. PhD is a plus.
- Experience: 5+ years of experience in predictive analytics, data science, or related fields, with at least 2 years in a leadership or management role.
- Familiarity with Advanced Statistical Techniques: Proven experience in building and deploying predictive models using techniques such as regression analysis, machine learning, and time-series forecasting.