Data Scientist 3 4P/851

We are seeking an experienced Data Scientist III to lead advanced analytics, machine learning, predictive modeling, and data-driven decision support initiatives., * Analyze large and complex datasets to identify trends, patterns, and actionable insights.

• Develop and deploy advanced machine learning and predictive models .
• Apply deep learning, ensemble methods, neural networks, and other advanced analytical techniques.
• Perform feature engineering and model optimization.
• Conduct statistical analysis, hypothesis testing, and validation.
• Design and analyze A/B tests and experiments .
• Develop effective dashboards and data visualizations using Power BI, Tableau, Python, or similar tools.
• Partner with data engineering and IT teams to integrate data from multiple sources, data lakes, and data warehouses.
• Deploy machine learning models into production environments.
• Support real-time analytics and data-driven business applications.
• Develop and optimize algorithms for complex business and operational problems.
• Ensure appropriate data privacy, security, ethics, and regulatory compliance.
• Collaborate with engineers, analysts, business leaders, and subject matter experts.
• Mentor junior data scientists and provide technical leadership.
• Help define data science strategy, standards, and technology roadmaps.
• Evaluate emerging AI, machine learning, and analytics technologies.

The ideal candidate will have deep expertise in Python, machine learning, statistical analysis, SQL, data visualization, big data technologies, and model deployment , along with the ability to translate complex analytical findings into actionable business recommendations., * 10-15 years of data science, advanced analytics, machine learning, or related experience.

• Master’s degree or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or another quantitative discipline .
• Advanced proficiency with Python, R, Julia, or similar analytical programming languages .
• Expert knowledge of machine learning algorithms and predictive modeling techniques.
• Strong SQL and database experience.
• Experience deploying machine learning models into production.
• Strong statistical modeling and analytical skills.
• Experience working with large and complex datasets.
• Strong problem-solving and critical-thinking capabilities.
• Excellent written and verbal communication skills.
• Ability to communicate complex technical findings to technical and non-technical stakeholders.

Preferred Qualifications

• Experience with Power BI, Tableau, Matplotlib, or similar visualization tools .
• Experience with big data and distributed computing technologies such as Spark or Hadoop .
• Deep learning and neural network experience.
• Experience with cloud-based analytics and machine learning platforms.
• Experience leading data science projects or mentoring technical teams.
• Strong understanding of data ethics, privacy, governance, and compliance.
• Experience developing enterprise AI or machine learning solutions.

Key Skills