Signet Jewelers is looking for a Data Scientist to join their Enterprise Analytics team to contribute to pricing and promotion optimization initiatives by building models, performing exploratory analysis, and delivering actionable insights.
Requirements
- 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
- 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
Responsibilities
- 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
Other
- 1–3 years of experience in data science or advanced analytics roles
- Strong analytical mindset and ability to work in a collaborative environment
- The salary range for this opportunity is $90,000- $105,000.
