Lead Data Scientist - Price Elasticity Modelling

@ Tiger Analytics

Overview

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. As a Lead Data Scientist - Price Elasticity Modelling, you will apply your expertise in machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services.

Key Responsibilities

• Collaborate with business partners to develop innovative solutions.
• Develop, test, and deploy solutions using Python, SQL, and PySpark on enterprise platforms such as Databricks.
• Translate models into production-ready code in collaboration with a team of data scientists.
• Implement CI/CD pipelines and manage code repositories using GitHub Enterprise.
• Design and optimize mathematical programming and machine learning models for applications like incentive elasticity modeling.
• Implement scenario simulation algorithms and break down complex problems into actionable tasks.
• Ensure code quality, scalability, and maintainability in a production environment.
• Engage in sprint planning, documentation, and cross-functional collaboration.
• Coach and collaborate with a growing team of experienced professionals.
• Stay updated through conferences and community engagements.

Requirements

• 8 years of experience as a Data Scientist.
• Hands-on enterprise data science experience, preferably in retail, inventory management, or operations research.
• Proficient in Python, SQL, and PySpark with experience in Databricks or similar platforms.
• Familiarity with ML libraries such as NumPy, SciPy, scikit-learn, MLlib, PyTorch, and TensorFlow.
• Experience with production-level coding and deployment practices.
• Strong independent work ethic with an ownership mindset.

Key skills/competency

Data Science, Machine Learning, Python, SQL, PySpark, Databricks, CI/CD, Optimization, Modelling, Analytics