Data Scientist - Remote

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Signet Jewelers

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retail and jewelry

10,000+

Description

• We are seeking an experienced and innovative Data Scientist to join our dynamic team. • In this role, you will leverage advanced analytics, machine learning, and statistical modeling to build and support Real Estate forecasting and market optimization. • You will partner with the Real Estate team to deliver models and analytics to support the optimal location in the right market to best serve our customers for each of the Signet banners. • Understand and prioritize Real Estate business problems, identify ways to leverage complex data to build and continuously improve forecasting, transfer and optimization models leveraged in re-usable solutions to support Real Estate strategy decisions. • Visualize complex data sets, draw conclusions and relationships, and develop actionable recommendations. • Work with advanced business intelligence tools to complete complex calculations, table calculations, geographic mapping, data blending, and optimization of data extracts. • Properly use linear and non-linear predictive models, and optimization techniques. • Conduct test-and-learn (A/B, control testing) for measurement of capital projects, competitive locations, store closing/transfer analyses, and trade area/whitespace analytics. • Engage and collaborate with analytical team members across the company to increase the organization's analytical capabilities.

Requirements

• Bachelor’s degree in data science, Analytics, Statistics, or similar field is required • Master’s degree in data science, Analytics, Statistics, or similar field is preferred • 5-7 years of experience in statistical modeling, data science or a related field • Advanced knowledge of Alteryx, SQL, Python, or R • Intermediate Knowledge of Tableau (or any other Business Intelligence platform), Microsoft Office Suite, data management concepts • Intermediate Knowledge of ESRI ArcMap preferred • Data Wrangling – proficiency in dealing with data imperfections, data gaps, normalization techniques • Experience with statistical data analysis, such as time series, linear models, multivariate analysis, and sampling methods • Experience with spatial data management and spatial analysis • Experience with AWS tools/environment preferred • Excellent written and verbal communication skills for preparing reports and presentations • Strong attention to detail and organizational skills • Ability to work collaboratively in a team environment and engage with diverse stakeholders • Self-motivated with a proactive approach to problem-solving

Benefits

• Competitive healthcare, dental & vision insurance • 401(k) matching after one year of employment • Generous time off + company holidays • Merchandise discount • Learning & Development programs • Much more!