Lead Data Scientist

Key Responsibilities

• Team Leadership: Lead the solution and a team of data scientists delivering AI and ML solutions for marketing and business engagement use cases
• Ownership: Accountability for technical decisions, project outcomes, timelines, and production stability within a defined domain
• Planning and Business Alignment: Lead the planning and execution of data science use cases, ensuring alignment with business goals and objectives
• Model Development: Design, train, and optimize machine learning and deep learning models for a variety of marketing and business engagement use cases
• Platform Integration: Enable seamless integration of AI capabilities into business applications and workflows through APIs, SDKs, and microservices
• Stakeholder Communication: Visualize data, create reports, and present findings to senior management and cross-functional teams
• Develop Statistical Models: Use Python and cloud tools (Azure) to develop statistical models, analytics, and Machine Learning algorithms
• Research and Innovation: Stay up to date with the latest advances in AI, Data Science, and Machine Learning
• ML-Ops Best Practices: Optimize platform components for efficiency, scalability, and reliability using best practices in distributed computing, resource management, and cloud-native architectures

Essential Business Experience and Technical Skills

• Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a related field
• Proven experience designing, deploying, and operating production ML and/or GenAI solutions, including APIs, batch, and real-time inference
• Experience in developing Machine Learning models using Python (preferably in the cloud)
• Familiarity with best practices for responsible AI, including data privacy, bias mitigation, and/or model monitoring
• Strong SQL knowledge and data analysis skills for data anomaly detection and Exploratory Data Analysis
• Experience with Dominos, Power BI, and/or Azure ML
• Statistical Knowledge: A strong understanding of statistics and mathematics is essential for data analysis and prediction
• Use predictive modeling or AI solutions to increase and optimize customer experience/communication, revenue generation, ad targeting, and other business outcomes
• Very good presentation skills to present results clearly and effectively by creating presentations with storytelling, visualizations & results
• Very good problem solver and excellent communication skills - both written and verbal