Data Scientist
3 days ago
Advanced Analytics & Insights:
- Apply statistical analysis, forecasting, predictive modeling, and optimization to uncover trends, opportunities, and risks.
- Evaluate new data sources and collection techniques for improved accuracy and effectiveness.
- Communicate insights to business stakeholders using data visualization techniques.
Machine Learning & AI Implementation:
- Design and deploy ML-driven models to enhance business decision-making.
- Stay up-to-date with the latest AI advancements, technologies, and methodologies.
- Optimize and retrain models as needed to maintain performance.
Data Infrastructure & Cloud Migration:
- Support cloud migration of existing on-premise solutions.
- Build and maintain data pipelines, APIs, and analytical tools.
- Ensure seamless integration between business intelligence and analytics platforms.
Stakeholder Engagement & Business Impact:
- Partner with product, underwriting, and leadership teams to identify data-driven opportunities.
- Drive buy-in for analytics-based decision-making across the organization.
- Mentor and coach junior data scientists and analysts.
What You Need to Succeed:
- 46 years of experience in advanced analytics, big data, and machine learning.
- Strong analytical and problem-solving skills.
- Experience with classification models, anomaly detection, regression, and neural networks.
- Proficiency in Python, SQL, Power BI, and Azure (or similar cloud platforms).
- Knowledge of APIs, statistical modeling, and data engineering.
- Strong communication, leadership, and project management skills.
Degree in Data Science, Mathematics, Statistics, Computer Science, Engineering, or a related field.
Be part of a forward-thinking team that is revolutionizing data-driven decision-making. Apply now to make an impact with AI and analytics
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