Senior Data Scientist- Data Technologies

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Who we are:

The Bloomberg Engineering Data Technologies Department engineers systems and models that serve billions of data points to some of the World’s most discerning customers each day. The Data Science team is a dynamic, collaborative and intellectually stimulating bunch, working together on interesting problems to bring impact to our customers and clients. We care deeply about building a diverse, inclusive organization, and hope that you can join us in this exciting work! 

What we do:

At Bloomberg, our systems ingest hundreds of billions of market data ticks and millions of curated news stories for financial players to process and make investment decisions. Our company-wide machine learning efforts enhance our clients' ability to find the right pieces of information that are necessary to succeed in their jobs.

In our Data Science team, we are transforming the technology, the data and the insights that Bloomberg provides to our customers across the global financial sector, using data science and machine learning.

What’s in it for you:

You will work alongside world-class talent to find innovative solutions to some of the most interesting problems in the Financial Industry (and beyond!) using data science and machine learning. In collaboration with colleagues in Engineering, the CTO office, the Data group and the Product organization, you will be working with complex datasets, developing prototypes to test analytical hypotheses and executing statistical quantitative analyses to drive business value for the company.

You’ll need to have:

• Undergraduate degree in a quantitative field or equivalent practical experience using statistics, optimization and/or econometrics.
• Strong data intuition and expertise with data analysis
• Hands-on experience with applied machine learning techniques using either -Python, R or C++, as well Spark, SQL or other distributed data processing technologies.
• Able to clearly communicate research findings to technical and nontechnical clients.
• Familiar with basic engineering skills and tools (version control, unit testing, etc.)
• Dedication to actively promoting a diverse and inclusive team environment

We’d like to see:

• Advanced degree (Master’s or PhD) or equivalent experience
• Experience working with financial data
• Experience in large-scale, data-rich environments
• Experience with scientific computing, time series, panel data, behavioral analysis, text processing and/or alternative data.
• Empirical, independent, detail-oriented mindset. 
• Sense of ownership of the work, working well both independently and collaboratively