AddressABOUT 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
