Data Scientist – Dynamic Pricing & Offer Optimization

TechBiz Global is currently seeking a skilled Data Scientist to join a dynamic team focused on advanced analytics and optimization. This role offers the opportunity to work on high-impact projects involving dynamic pricing and offer optimization within a fully remote environment.

Key responsibilities

• Build and deploy machine learning models for price elasticity, conversion prediction, churn propensity, and offer recommendation.
• Design A/B testing frameworks and uplift modeling to evaluate the performance of marketing and pricing campaigns.
• Develop simulation engines for pricing what-if analysis and scenario testing to support business strategy.
• Create and maintain automated pipelines for model training, scoring, and continuous retraining.
• Collaborate with Data Engineers and business teams to translate complex insights into actionable rules and thresholds.

Requirements

• 5–8 years of professional experience in applied machine learning, statistical modeling, and data science for large-scale systems.
• Strong proficiency in Python, including libraries such as pandas, scikit-learn, numpy, statsmodels, xgboost, and lightGBM.
• Solid understanding of model lifecycle management and MLOps best practices.
• Expertise in designing feature engineering pipelines and performing rigorous A/B testing.
• Excellent ability to visualize data and communicate technical findings to non-technical stakeholders.

What we offer

• Opportunity to work on complex, large-scale data projects in a fully remote setting.
• Exposure to advanced topics like reinforcement learning, elasticity curves, and customer lifetime value modeling.
• Collaborative environment working alongside experienced Data and AI Engineering teams.