Senior Data Scientist - Marketing

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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, Piercing Pagoda, Rocksbox and JamesAllen.com. We are a 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!

Who We Are

We are the world’s largest retailer of diamond jewelry and the world’s largest specialty jewelry retailer, with #1 market share in the U.S., UK and Canada. Signet operates approximately 3,200 stores globally, under the brand names Kay Jewelers, Zales, Jared, H.Samuel, Ernest Jones, Peoples Jewellers, Piercing Pagoda and JamesAllen.com.

All Are Welcome Here

Signet is a people company – this means that we put our customers and our employees at the center of everything we do. Our culture celebrates diversity and inclusion, while uniting around a common mission and distinct privilege of helping our customers Celebrate Life and Express Love®. We strive to make sure that our 35,000 employees have professional, personal and social development opportunities to unleash their full potential and have equal opportunity for advancement, regardless of their gender, race, sexuality or any other aspect of their background. At Signet, we nurture an inclusive environment where employees feel safe, supported and empowered at work each day. We do not and will not tolerate any behavior that undermines this effort.

POSITION SUMMARY:

Utilize a blended approach of statistical, computer science and business knowledge to develop new approaches to lead analysis and interpretation of large data sets to develop data driven recommendations to solve business challenges. Collaborate with multi-disciplinary teams to gather and analyze structured and unstructured data using scientific methods and developing and testing models used to predict customer behavior. Develop data strategy to maximize use of data as an enterprise asset.

MAJOR RESPONSIBILITIES/ESSENTIAL FUNCTIONS:

Understand and prioritize business problems and identify ways to leverage data to recommend solutions to business problems. Organize and synthesize data into actionable business decisions, focused on insights. Visualize complex data sets, draw conclusions and relationships and develop actionable recommendations. Provide insight into customer behavior, trends, financials and business operations through data analysis and the development of business intelligence visuals.

Work with advanced business intelligence tools such as complex calculations, table calculations, geographic mapping, data blending and optimization of data extracts. Properly use supervised and unsupervised algorithms, linear and non-linear predictive models and optimization techniques. Develop rapid prototypes to help assess strategic opportunities and future business intelligence capabilities.

Develop dashboards and prepare executive level (or targeted audience) presentations to clearly articulate the results of the analysis. Explain, through strong communication skills and analytical analysis, the business value and expected impact of the work. Clearly and fluently translate technical findings to a non-technical team with quantified insights.

Collaborate with Team Members to utilize knowledge in analytics and statistics to help the business explore new, creative ways to utilize data and make informed decisions.

POSITION QUALIFICATIONS:

Education Required: Master's degree in Computer Science, Mathematics, Statistics or similar subject

Required or Acceptable Job-Related Experience: 5+ years

Years of Job-Related Experience Required: 5+ years’ experience with applied analytics

Technical/Other Skills

Required: Deep expertise and experience with statistical data analysis such as linear Applied experience with machine learning on large datasets. Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. Experience translating analysis results into business recommendations. Experience with Python, Java, C++ or similar language as well as experience with R and/or SAS. Exposure to Hadoop, MapReduce, Spark, Hive or other Big Data Platforms. Fluency in SQL. Multivariate experimental design.models, multivariate analysis and sampling methods