About Sotheby's

Established in 1744, Sotheby’s is the world’s premier destination for art and luxury. Sotheby’s promotes access to and ownership of exceptional art and luxury objects through auctions and buy-now channels including private sales, e-commerce and retail. Our trusted global marketplace is supported by an industry-leading technology platform and a network of specialists spanning 40 countries and 70 categories which include Contemporary Art, Modern and Impressionist Art, Old Masters, Chinese Works of Art, Jewelry, Watches, Wine and Spirits, and Design, as well as collectible cars and real estate. Sotheby’s believes in the transformative power of art and culture and is committed to making our industries more inclusive, sustainable and collaborative.

The Role

We are seeking an experienced senior data scientist with a passion for extracting meaning from data and a relentless focus on execution. You will join our Data Science team within the larger Product & Technology division and will work closely with Product, Engineering, BI/Reporting, and Operations teams.

As a member of our small but mighty data science team, you will play an integral role in delivering high-impact data products and insights as well as influence the overall vision and strategy of data science within Sotheby’s.

Responsibilities

Solve product or business problems using analytics, experimentation, and machine-learning
Research and devise innovative statistical models for data analysis
Implement models in production in collaboration with developers and data engineering
Own the process of gathering, extracting, compiling, and cleaning data as needed to execute and deliver on data products
Communicate and present findings and insights to relevant stakeholders and leadership
Keep current with technical and industry developments
Work effectively in a dynamic, delivery-oriented environment with concurrent projects

Ideal Experience & Competencies

3+ years of proven experience as a data scientist
Strong knowledge of statistics (e.g. hypothesis testing, statistical inference, regression), predictive modeling, machine-learning, data wrangling
Proficiency with at least one scripting language (ex. Python) and one data visualization tools (ex. Matplotlib, Tableau)
Excellent ability to communicate complicated and nuanced insights in an accessible language to relevant stakeholders
Problem-solving aptitude and business sense
Natural curiosity and creative mind

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To view our Candidate Privacy Notice for the UK, Hong Kong, France and Switzerland, please click here.

The Company is an equal opportunity employer and considers all applicants for employment without regard to race (including, without limitation, traits historically associated with race, such as natural hair, hair texture, and protective and treated or untreated hairstyles), color, creed, religion, sex, sexual orientation, marital or civil partnership/union status, national origin, age, disability, pregnancy, genetic predisposition, genetic information, reproductive health decision, sexual orientation, gender identity or expression, alienage or citizenship status, domestic violence victim status, military or veteran status, or any other characteristic protected by federal, state/province or local law. The Company complies with applicable state and local laws prohibiting discrimination in employment in every jurisdiction in which it operates.

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