Extra Space Storage is looking to build and deploy advanced analytics systems into production, maintain these systems, and leverage data science and AI applications to improve products such as revenue management and paid search bidding systems.
Requirements
- Ability to manage large data sets, develop data pipelines.
- SQL programming skills.
- Python or R programming skills.
- Knowledge of vector databases, embedding models, LLM endpoints.
- Prior experience with cloud technologies will be a plus.
- Develop and optimize prompts for large language models (LLMs), evaluate and fine-tune AI models to achieve desired outcomes for specific business applications.
- Collaborate with various teams to integrate and test data science and AI applications.
Responsibilities
- Builds and deploys scalable analytical systems.
- Develops data science proof-of-concept models into production-ready applications. Follows industry standard principles on software development.
- Builds data science applications related to text-based search, and audio & video recordings.
- Uses statistical modeling or A/B testing approaches to evaluate algorithmic improvements to the model.
- Executes on the technical roadmap for data science products.
- Performs systems analysis, interprets the findings from it, and explains the findings to business audience to improve products such as revenue management system, and paid search bidding system.
- Documents assigned aspects of projects, including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results, and analytical metrics.
Other
- Proven analytical skills with data-driven decision-making skills.
- Team player with excellent collaboration skills.
- Highly motivated and high level of energy and enthusiasm.
- A Master’s Degree in computer science, data science, mathematics, statistics, finance, economics, or other engineering fields
- Requires 3+ years' experience in deploying advanced analytics solutions to drive business outcomes.
