Director – Data Science

Director – Data Science

Requirements

• Bachelor’s degree in Data Science, Machine Learning, Computer Science, or a related field; Advanced degree preferred
• Extensive experience in Data Analytics, Business Intelligence, and Reporting, with a strong focus on statistical methods
• Advanced expertise in AI and Machine Learning, including model development, deployment, and designing AI-driven solutions for business processes
• Proficient in technologies like Python, R, and TensorFlow, with formal training in Data Science and hands-on experience in machine learning libraries and data visualization techniques
• Expertise in SQL queries, Excel, PowerPoint, and SaaS systems like Salesforce
• Advanced skills in collaboration tools such as JIRA, ServiceNow, and Confluence
• Strong analytical skills and experience in AI-driven solutions
• Experience with cloud computing platforms such as AWS, Azure, and Google Cloud
• Proven ability to lead AI projects and implement innovative technologies that drive business value
• Strong problem-solving skills and ability to handle complex datasets to extract actionable insights
• Effective communication skills to articulate complex analytical concepts to technical and non-technical stakeholders

Responsibilities

• Lead and mentor a team of data scientists in developing advanced machine learning models, dashboards, and visualizations for predictive analytics and decision-making
• Conduct and supervise statistical analyses and experiment-driven predictive modeling to extract actionable business insights, leveraging cutting-edge machine learning algorithms
• Present analytical findings and recommendations to stakeholders and leadership, utilizing AI for enhanced data interpretation and driving strategic decisions
• Identify and leverage data opportunities with cross-functional teams through AI-powered data mining techniques and unstructured problem-solving
• Lead the deployment of secure, scalable data science solutions using Python, R, SQL, and AI frameworks to address complex business challenges
• Implement and monitor automated anomaly detection systems using machine learning to swiftly identify and address issues
• Design comprehensive experiments to validate models, ensuring robust and reliable outcomes
• Drive innovation by continuously exploring and integrating new AI technologies and methodologies
• Optimize operational workflows using AI and machine learning techniques, enhancing efficiency and productivity
• Develop and refine complex algorithms to solve unstructured problems, applying deep learning and other advanced techniques
• Ensure robust data quality and integrity with AI-driven cleaning and validation procedures
• Communicate complex analytical concepts in a clear and concise manner to stakeholders, fostering understanding and collaboration across teams

Preferred Qualifications

• Ability to leverage data opportunities through cross-functional collaboration using AI-powered techniques
• Expertise in deploying secure, scalable data science solutions with Python, R, SQL, and AI frameworks
• Proficiency in implementing and monitoring automated anomaly detection systems using machine learning
• Aptitude in designing experiments to validate models, ensuring robust and reliable outcomes
• Innovative mindset to explore and integrate new AI technologies and methodologies
• Capability to optimize operational workflows with advanced AI and machine learning techniques
• Skill in developing and refining complex algorithms to solve unstructured problems
• Commitment to ensuring robust data quality and integrity through AI-driven cleaning and validation procedures
• Effective communication of complex analytical concepts to stakeholders
• Proven experience in leading complex data science projects from conception to implementation
• Ability to drive data-driven decision-making through innovative visualizations and predictive models
• Positive and proactive attitude when tackling challenging data science problems
• Strong analytical skills for optimizing organizational performance