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Senior Data Scientist - Bloomberg Connects

Bloomberg

Bloomberg

Data Science
New York, NY, USA
Posted 6+ months ago

Senior Data Scientist - Bloomberg Connects

New York, NY

Posted Feb 9, 2024 - Requisition No. 123125

You are no doubt familiar with Bloomberg’s position as a global leader in financial technology and media, but we are so much more. Bloomberg Philanthropies works to ensure better, longer lives for the greatest number of people by focusing on five key areas: the arts, education, the environment, government innovation, and public health. Philanthropy has always been integral to Bloomberg, woven into the fabric of our culture!

Bloomberg Connects is a rapidly-growing, free app offering digital guides to museums, galleries, and cultural spaces around the world. Launched in November 2019, the app features engaging, multi-media guides with insightful and unique content exclusive to each of our partners such as The Guggenheim, The Metropolitan Museum of Art, Brooklyn Museum, and many more.

We are a team of interaction and visual designers, engineers and leaders working with Bloomberg Philanthropies on Bloomberg Connects, a platform that brings digital access to arts and culture institutions around the world.

For our cultural partners, we design and build tools to manage their collections, informed by research and interviews with the staff at the world’s top arts and culture institutions. For everyone we design and build a mobile app, Bloomberg Connects, to bring access to the arts right to the users’ hands.

Our designers and engineers work side-by-side with each other daily to deliver delightful experiences with accessibility and usability at the core. Our vibrant team takes pride in their work, driven by a common sense of purpose.

Join us in our mission to bring access to arts and culture to everyone, anytime, anywhere!

We’ll trust you to:

  • Participate in a cross-functional agile team spanning design and engineering.
  • Build and support dashboard and reporting workflows that provide our internal stakeholders and cultural partners access to timely, flexible and insightful data.
  • Conduct ad hoc data analysis and data quality investigations.
  • Analyze historical data to extract meaningful insights and learnings from large and complicated data sets.
  • Identify trends to support decision making, including written and verbal presentation of results and recommendations.
  • Work closely with Product Managers, Designers, and Engineers to design, implement and track A/B experiments surrounding the release of new features.

You’ll need to have:

  • 5+ years with Python.
  • 5+ years of data analysis in SQL and data visualization using business intelligence tools.
  • A background in statistical analysis. (regression models, A/B testing)
  • A degree in Computer Science, Statistics, Mathematics, Engineering or related technology field/Equivalent Experience

Even better if you have:

  • Familiarity with relational data modeling.
  • Exposure working with Data Warehouses.
  • Experience training and applying machine learning models.

If you are interested in learning more about this opportunity, please contact {FON David Harding

Bloomberg provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email AMER_recruit@bloomberg.net (Americas), EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa), or APAC_recruit@bloomberg.net (Asia-Pacific), based on the region you are submitting an application for.


Salary Range: 160,000 - 240,000 USD Annually + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation [Exempt roles only], paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.