Data Scientist

• Identify Opportunities: Collaborate with internal and external stakeholders to uncover and define data-driven opportunities that align with strategic business goals.
• Data Analysis & Modeling: Mine and analyze complex datasets from company and client databases to drive product and business optimization strategies, using both traditional statistical techniques and state-of-the-art machine learning approaches.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques, including evaluating and implementing methods for acquiring and processing large volumes of text data.
• Perform data processing using State of the Art LLM Models and technologies
• Innovation & Strategy: Assess the effectiveness of new data sources and data gathering techniques, identifying ways to enhance the organization’s data strategy with novel ML and AI methods.
• Client-Facing Presentations: Develop compelling presentations and demos to showcase analytical solutions and insights to both technical and non-technical audiences, including clients and senior management.
• Predictive Modeling & Optimization: Use advanced statistical and machine learning approaches to drive improvements in customer engagement, product performance, and business processes.
• Model Monitoring: Establish processes and tools to track model performance, data accuracy, and reliability over time. Continuously iterate on models to meet evolving business needs and industry best practices.

Data Science, Machine Learning Engineer

Data Scientist I, Real World Data Science

Data Scientist II

Data Scientist

Junior Data Scientist

Senior Data Scientist, Product Growth