Data Scientist

• Develop AI and ML solutions to drive improved business performance and efficiency across domains
• Lead end-to-end AI/ML projects from understanding business needs to data preparation, model development, solution deployment, and post-production monitoring.
• Dissect and solve complex business problems using analytical and quantitative approaches to identify patterns and correlations in large complex data sets.
• Integrate and curate data from a wide range of internal and external sources to develop rich datasets for predictive & prescriptive modeling as well as machine learning.
• Define and implement best practices to generate accurate reports, visualizations & dashboards to explain results simply and succinctly to technical and non-technical users.
• Create models for visual recognition, processing of natural language that analyze complex data to make predictions or decisions, mimicking human intelligence.
• Liaise with stakeholders to understand their needs and concerns and develop concise analytics to provide actionable insights to influence strategy and performance.
• Build partnerships, share knowledge, and deliver valuable predictive insights to inform strategic decisions, all the while highlighting potential risks and opportunities.

Senior Data Scientist

Data Scientist I, Real World Data Science

Data Scientist II

Data Scientist

Junior Data Scientist

Senior Data Scientist, Product Growth