Lead Data Scientist

7+ years of experience in DS, Statistics, or a related field Expert-level proficiency in Python for data manipulation, statistical analysis, and model development Advanced knowledge of SQL for complex data querying and performance optimization Strong hands-on experience with supervised learning (Regression, Random Forests, Gradient Boosting) Strong hands-on experience with unsupervised learning (Clustering, Dimensionality Reduction) Strong hands-on experience with time series forecasting (ARIMA, Prophet) Experience with dbt for data transformation and maintaining clean, reliable data pipelines Demonstrated ability to deploy models into production environments and familiarity with MLOps concepts Familiarity with software engineering practices (CI/CD, version control with Git, Jira) Strong communication skills Expertise in developing or integrating GenAI models or AI agents

Lead the design, development, and deployment of advanced ML models and predictive algorithms Serve as a technical subject matter expert, guiding the team on best practices Partner with PMs and Engineers to translate ambiguous business questions into rigorous data science projects Drive the adoption of MLOps best practices Perform deep-dive analyses on user behavior and product performance Mentor and coach other data scientists and analysts Communicate complex technical findings to non-technical stakeholders