Collaborate with the team to develop and enhance machine learning models that support pricing and promotional strategies
Perform data exploration and analysis to uncover insights that drive business outcomes
Contribute to the design of scalable, interpretable solutions for retail applications
Partner with stakeholders to translate analytics into actionable strategies for pricing and promotions
Support continuous improvement through monitoring, evaluation, and scenario planning
Assist in building automated data pipelines for model refresh and reporting
Participate in cross-functional discussions to align analytics with business goals

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

Comprehensive healthcare, dental, and vision insurance to keep you and your family covered
Generous 401(k) matching after just one year to help secure your financial future
Ample paid time off, plus seven holidays to recharge and unwind
Exclusive discounts on premium merchandise just for you
Dynamic Learning & Development programs to support your growth

Data Scientist

Key skills