Lead AI/ML Engineer - Pricing & Promotions Optimizer

Randomtrees; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Randomtrees seeks a Lead AI/ML Engineer to design, build, and scale a Pricing & Promotion Optimization platform. You will work at the intersection of machine learning, AI, and statistics on price elasticity modeling, personalized promotions, and demand forecasting for thousands of SKUs.

Collaborate with data engineers, product managers, and marketing analytics to create AI-driven decision systems with scalable production quality.

Qualifications

• Masters degree in Computer Science, Data Science, Statistics, or related field.
• 8+ years of experience in AI/ML solution design & development.
• Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Expertise in forecasting and time series modeling & analysis techniques.
• Experience with feature engineering and model evaluation.
• Familiarity with version control systems (Git) and collaborative workflows.

Responsibilities

• Design, Develop and deploy time-series forecasting models (Prophet, ARIMA, DeepAR, LSTM, Temporal Fusion Transformer).
• Apply statistical and causal inference techniques to evaluate promotion effectiveness and seasonality.
• Build dynamic pricing, promotion optimization & recommendation models using reinforcement learning or multi-armed bandits.
• Architect ML pipelines for promotion targeting and ROI optimization.
• Design end-to-end data workflows from data ingestion to model deployment, integration with production APIs and dashboards.
• Develop cross-channel regular price optimization models across B2C and B2B, incorporating customer segment behavior, channel elasticity, contract constraints, competitive price signals, and margin guardrails.
• Implement model monitoring, retraining, and drift detection systems.
• Work with data warehouses (Azure SQL, Snowflake, Databricks Delta) and APIs for data processing and operationalization.
• Collaborate with cloud teams for deployment on Azure or GCP.

Skills

Python

Time-series forecasting

TensorFlow

PyTorch

Scikit-learn

Feature engineering

Git

Problem solving

Education

Masters degree in CS/DS/Statistics

Job description

Randomtrees seeks a Lead AI/ML Engineer to design, build, and scale a Pricing & Promotion Optimization platform. You will work at the intersection of machine learning, AI, and statistics on price elasticity modeling, personalized promotions, and demand forecasting for thousands of SKUs.

Collaborate with data engineers, product managers, and marketing analytics to create AI-driven decision systems with scalable production quality.