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Senior Data Scientist



1mo ago

  • Job
    Mid & Senior Level
  • Data
  • London
  • Quick Apply

AI generated summary

  • You need 3+ years experience, strong statistical and machine-learning skills, proficiency in Python and data visualization, clear communication, problem-solving abilities, business sense, curiosity, and creativity.
  • You'll use analytics, experimentation, and machine-learning to solve business problems; research and implement statistical models; gather and clean data; present findings to stakeholders; and stay current with industry developments.


  • 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


  • 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


What qualifications are required for the Senior Data Scientist position?

To be successful in the role of Senior Data Scientist, we are looking for candidates with a strong background in data science, machine learning, statistics, or a related field. Advanced degrees such as a Master's or Ph.D. in a relevant field are preferred. Furthermore, experience in delivering high-impact data products and working collaboratively with cross-functional teams is essential.

What will be the main responsibilities of the Senior Data Scientist?

The Senior Data Scientist will be responsible for extracting insights from data, developing predictive models, building data products, and providing data-driven recommendations to various teams within the organization. Additionally, they will play a key role in influencing the overall vision and strategy of data science at Sotheby’s.

How will the Senior Data Scientist collaborate with other teams within the organization?

The Senior Data Scientist will work closely with Product, Engineering, BI/Reporting, and Operations teams to understand business objectives, design data-driven solutions, and deliver actionable insights. Collaboration and communication skills are essential for success in this role.

What opportunities for growth and development are available for the Senior Data Scientist?

At Sotheby’s, we value continuous learning and professional development. The Senior Data Scientist will have the opportunity to work on a variety of challenging projects, collaborate with a talented team of data scientists, and contribute to shaping the future of data science within the organization. Additionally, opportunities for training, workshops, and conferences will be provided to support personal and professional growth.

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Mission & Purpose

Established in 1744, Sotheby’s is the world’s premier destination for art and luxury. Sotheby’s promotes access, connoisseurship and preservation of fine art and rare 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 50 categories, which include Contemporary Art, Modern and Impressionist Art, Old Masters, Chinese Works of Art, Jewelry, Watches, Wine and Spirits, and Interiors, among many others.