via Workday
$90K - 105K a year
Develop and enhance machine learning models for pricing and promotion optimization, perform data analysis, collaborate with stakeholders, and support model deployment and continuous improvement.
1-3 years experience in data science or advanced analytics with proficiency in Python and SQL, understanding of statistics and machine learning, and familiarity with retail analytics and cloud ML platforms preferred.
We have many opportunities available on our other career site pages. Click here to link to our careers page! 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- $105,000. Base pay offered may vary depending on geographic region, internal equity, job related knowledge, skills and experience, among other factors. Signet Jewelers is a people-first company. 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. We're ONE Company, proud of our rich heritage, international presence, diversity, inclusion and equity we’re inspiring inside. We are Great Place to Work-Certified™ operating under the iconic brands: Kay Jewelers, Zales, Jared, H.Samuel, Ernest Jones, Peoples, Piercing Pagoda and James Allen.
This job posting was last updated on 12/8/2025