Data Scientist (REMOTE)

Role Overview

Join the Enterprise Analytics team as a Data Scientist to contribute to pricing and promotion optimization initiatives. This role offers hands-on experience in building machine learning models, performing exploratory analysis, and collaborating with business stakeholders to deliver actionable insights.

Key Responsibilities

• Develop and enhance machine learning models that support pricing and promotional strategies
• Perform data exploration and analysis to uncover insights that drive business outcomes
• Design scalable, interpretable solutions for retail applications
• Translate analytics into actionable strategies for pricing and promotions
• Monitor, evaluate, and support continuous improvement through scenario planning
• Build automated data pipelines for model refresh and reporting
• Participate in cross-functional discussions to align analytics with business goals

Required Qualifications

• 1–3 years of experience in data science or advanced analytics roles
• Proficiency in Python (Pandas, scikit-learn, statsmodels) and SQL
• Solid understanding of statistics, machine learning fundamentals, and data wrangling
• Exposure to time series forecasting and basic econometric concepts
• Strong analytical mindset and ability to work collaboratively

Preferred Qualifications

• Familiarity with retail analytics or pricing/promotion modeling
• Experience with cloud-based ML platforms (e.g., AWS SageMaker)
• Knowledge of MLOps practices and deployment pipelines
• Interest in Generative AI applications for retail

Benefits

• Comprehensive healthcare, dental, and vision insurance
• 401(k) matching after one year
• Generous paid time off plus seven holidays
• Exclusive discounts on merchandise
• Dynamic learning and development programs