- Ideate, develop, and deploy scalable and cost-efficient machine learning and natural language processing models.- Build scalable infrastructure for training, evaluating, and serving models.Analyze datasets to improve current approaches and prototype new ideas.- Develop tools and processes for sourcing, analyzing, labeling, and storing conversation data.

- Translate business opportunities into data science problems by defining project scope and performance metrics to measure success- Perform sophisticated data analytics (encompassing data mining, inferential statistical analysis, and predictive analytics, for example) utilizing internal and external data- Work with Sr. Data Scientist and Data Scientist Team Leader to story tell with data by creating clear, concise, and relevant presentations that leverage data visualization tools to highlight and communicate opportunity to business stakeholders- Collect and prepare data for reporting, analysis, and ad hoc request which encompasses exploratory to advanced predictive and/or modeling analytics to identify data relationships, patterns, and trends.

- Apply a structured approach to problem-solving using data.- Determine known and unknown parameters and/or variables and select the appropriate methodology to solve them.- Analyze risk within uncertain environments.- Visually communicate complex quantitative and qualitative information.