Lead Data Scientist
Core
Lead a data science team to build reporting, diagnostic, and predictive models that improve member experience and optimize workflows in financial planning.
Role type
Staff Data Scientist (Reporting & Predictive Modeling)
Builds
Production ML models, data pipelines, and analytical dashboards for financial planning products.
Domain
Financial Services / Consumer Technology
Deliverable
production ML models | dashboards & analysis
Required skills
Python, SQL, machine learning algorithms, statistical techniques, end-to-end pipeline development, model evaluation metrics, data engineering, visualization tools, API integration, version control
Preferred skills
Natural Language Processing, Neural Networks, LLMs, business optimization, containerization, cloud deployment
Technologies
Python, SQL, Tableau, Power BI, Looker, Google Data Studio, Streamlit, Dash, cloud infrastructure
Responsibilities
Expose insights through analysis reports and diagnostic models to discover hidden patterns; ensure code quality, bias reduction, and maintainability; gather, clean, preprocess, and engineer features from diverse data sources; develop, validate, and deploy predictive models using regression, classification, clustering, and time series forecasting; generate novel features using generative modeling; maintain knowledge of latest data science and reporting technologies.
Seniority
Staff, hands-on IC with team leadership