Job Responsibilities:
- Leading the development and delivery of data science solutions to empower our employees at the firm within Employee Platforms
- Working with peers and stakeholders to identify use cases and opportunities that will create value
- Designing and delivering solutions that are flexible and scalable using the firm’s approved tools
- Developing data-driven approaches to assist the employee’s workday experience while informing Employee Platforms of how they can better serve our population.
- Communicating analytical findings to senior leaders through data visualization and storytelling
- Ability to derive and deliver key insights and analytics on a broad scale
- Ability to understand multiple data sources with both structured and unstructured files and how to classify and aggregate and document for repeatable usage
Required qualifications, capabilities, and skills:
- 5+ years’ experience as a Data Scientist or in an adjacent quantitative role
- Databricks ML Flow, Sagemaker Studio, Juptyr Labs
- Knowledge of a range of languages and tools (e.g., SQL, Python, Databricks Starburst, AWS Sagemaker) and data visualization solutions
- Experience in LLM implementations, ML solutions such as insights, pattern detection, generative AI, forecasting, and ML algorithms
Preferred qualifications, capabilities, and skills
- Experience working at code level
- Masters/PhD in a quantitative or related discipline preferred, but not required