Data Scientist

21 hours ago

🏈 Ohio – Remote

Although this job is listed in Ohio, this company may be open to hiring remote in other states.

🤠 Texas – Remote

Although this job is listed in Texas, this company may be open to hiring remote in other states.

💵 $90k - $105k / year

⏰ Full Time

🟢 Junior

📊 Data Scientist

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Signet Jewelers

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Retail • eCommerce • Fashion

Signet Jewelers is the world's largest retailer of diamond jewelry, with a focus on bringing quality jewelry that expresses love and inspires trust among customers. The company owns several well-known brands such as Kay Jewelers, Zales, Jared, and Blue Nile, offering a wide range of fine jewelry and customizable designs. They emphasize sustainability and responsible sourcing in their operations. Signet aims to help people celebrate life and express love through their products while promoting human rights and preserving the environment. They have a strong market presence in the United States, Canada, and the UK.

10,000+ employees

Founded 1949

🛒 Retail

🛍️ eCommerce

👗 Fashion

📋 Description

• 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

🎯 Requirements

• 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

• 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!