Strong knowledge of machine learning, statistical modeling, predictive analytics, and advanced data science techniques.
Experience with Regression, GLM, Random Forest, Gradient Boosting, Decision Trees, Hierarchical Clustering, Text Mining, Deep Learning, CNN, and RNN.
Experience taking data science products through the complete lifecycle: development, deployment, production delivery, monitoring, validation, measurement, and tuning.
Experience designing and evaluating experiments, pilot programs, and measurement strategies across markets or business segments.
Experience applying AI/ML and Generative AI to pricing, forecasting, and optimization.
Experience with AI-powered agents or data applications for pricing strategy and optimization.
Strong data analysis, data visualization, business intelligence, and statistical analysis skills.
Strong understanding of data quality, data accuracy, data integrity, governance, data structures, database design, and query languages.
Ability to analyze pricing, demand, customer, product, and market data to identify trends, patterns, and optimization opportunities.
Experience building production-scale data science products and analytical/data applications.
Strong communication skills with the ability to explain complex technical concepts to technical teams, business stakeholders, and executives.
Ability to independently own projects, manage complex technical products, and provide technical leadership, coaching, and mentoring.
PREFERRED SKILLS
Experience with R, SAS, C++, JavaScript, MATLAB, and Excel.
Experience with pricing and forecasting optimization using AI/ML.
Experience building AI agents for pricing strategy/optimization.
Experience with additional statistical and data mining techniques.
Portfolio, GitHub, or relevant data science project examples.
Strong stakeholder management and business strategy experience.