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Signet Jewelers is the world's largest retailer of diamond jewelry, operating more than 2,800 stores worldwide under the iconic brands: Kay Jewelers, Zales, Jared, H.Samuel, Ernest Jones, Peoples, Banter by Piercing Pagoda, Rocksbox, JamesAllen.com and Diamonds Direct. We are a people-first company and this core value is at the heart of everything we do, from empowering our valued team members, to collaborating with our customers, to fostering the communities in which we live and serve. People – and the love their actions inspire – are what drive us. We’re not only proud of the love we inspire outside our walls, we’re especially proud of the diversity, inclusion and equity we’re inspiring inside. There are dynamic career paths awaiting you – rewarding opportunities to impact the lives of others and inspire love. Join us!
We are looking for a Data Scientist to join our Enterprise Analytics team and contribute to pricing and promotion optimization initiatives. This role offers hands-on experience in building models, performing exploratory analysis, and collaborating with business stakeholders to deliver actionable insights.KEY 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
POSITION 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 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
BENEFITS AND PERKS:
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
And more!
The salary range for this opportunity is $90,000- $110,000. Base pay offered may vary depending on geographic region, internal equity, job related knowledge, skills and experience, among other factors.