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Location

Vereinigte Staaten von Amerika | Germany

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Job description

Senior Data Scientist - Bloomberg Connects

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  } or our internal mobility partner {FON Graham Kerr }.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

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 [email protected] (Americas), [email protected] (Europe, the Middle East and Africa), or [email protected] (Asia-Pacific), based on the region you are submitting an application for.

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Job tags

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Salary