Senior Data Scientist - Enterprise Technology | New York, NY | Bloomberg Careers

Senior Data Scientist - Enterprise Technology

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New York, NY

Posted Dec 2, 2020 - Requisition No. 87479

Our Team:

Bloomberg’s Enterprise Technology team is responsible for the development and deployment of the global enterprise integration capabilities within Bloomberg. Our enterprise integration offering is a cloud platform for developing and operating global capital markets workflows. This includes message/file integration, API integration for any protocol and any format. On top of this platform we offer a managed service for solution delivery including operational support, change management and a unified client experience within the Bloomberg Console.

What's The Role?

In an environment this complex, data analytics and business intelligence are critical to understanding how we're performing, and where the best opportunities exist to improve service and optimize efficiency. We are seeking a Data Scientist to join our team to expand on the foundation we've developed, utilizing the wealth of systems data embedded across our organization to drive innovation and groundbreaking change. As an integral member of the team, you will go beyond the collection and synthesis of data. You'll help us to determine: where potential opportunities exist, the information required to effectively analyze our processes, and how to use findings to improve our operations and strengthen our business strategy. You will also accomplish this through the use of project management tools, operational dashboards, KPIs/metrics, and written/verbal presentation skills.

You're a Data Scientist/Engineer with a Programming background. You have proven project management skills and time management proficiency which enable you to multi-task effectively, handle ambiguity, and function well in a fast-paced, sometimes unpredictable environment. You approach challenges with creativity and enthusiasm; and stand behind your work products. You thrive in a team environment, and possess the motivation to understand the details of how people work and what they require to do their jobs most effectively.

On our team, you'll apply your data analysis expertise to complex operational problems. You'll provide design recommendations, identify data sources, and gather/cleanse/model and test your ideas. We'll depend on you to provide strategic thinking and tactical expertise across a broad range of disciplines across Enterprise Technology.

We'll Trust You To:

  • Design models to answer targeted business questions and drive change-Be hands on with populating data, conducting data analysis, and building dashboards that influence business decisions
  • Organize and analyze data to identify historical patterns to better position our team's workflows
  • Integrate yourself as a great teammate and collaborate with other analysts on department wide dashboard initiatives
  • Research, develop, and implement new methods of extracting relevant data from a variety of sources
  • Collaborate and consult with business colleagues to better understand their domain
  • Design, prototype, and implement technical solutions using a combination of proprietary, third party and open source technology to pursue complex business needs

You'll Need To Have:

  • Strong SQL coding background and experience with Relational Databases
  • Professional experience using Python / R-Business strategy, intelligence, and consulting
  • Development and design of critical metric dashboards
  • Proven eye for business utilizing statistics and process mapping
  • Ability to assimilate/decipher/present data analysis from a client impact perspective
  • Ability to run multiple projects at a time and shift priorities quickly
  • Strong analytical skills, troubleshooting, and tracing root causes-
  • Excellent written, verbal, and presentation communication skills

We'd Love To See:

  • Experience with client services within the tech/financial industry
  • Machine Learning exposure

If This Sounds Like You:

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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