About the Role
As a Data Scientist in Customer Success & Problem Solving, you will act as the senior technical point of contact, driving successful outcomes by identifying, scoping, and leading data science projects that directly address high-value customer problems.
Responsibilities
- Data Science Customer Success & Problem Solving: Act as the senior technical point of contact, driving successful outcomes by identifying, scoping, and leading data science projects that directly address high-value customer problems. Measure and report on the business impact (ROI, efficiency gains) of deployed models. Ensure rigorous testing and validation of all new data science features and model deployments.
- Technical Design & Implementation: Design, implement, monitor, and maintain scalable, production-grade Data Science systems. Research and evaluate the latest in Machine Learning, Generative AI, and advanced statistical models for new feature development. Actively scout, evaluate, and implement the latest advancements in Data Science, Machine Learning (MLOps, LLMs/Generative AI), and AI to maintain Aera’s technical edge.
- Data Science Technical Support: Take ownership of critical model performance issues. You will champion rapid resolution for Data Science models and pipelines, working collaboratively with Support, Customer Success, and Product teams to implement robust, long-term technical solutions.
- Product Collaboration: Act as a technical advisor to the Product Team by sharing insights from field implementations. You will provide data-driven feedback on model performance and usability to help inform future improvements to Aera Decision Cloud’s Data Science capabilities.