Senior Software Engineer – Media Data Science 617 views

The Media Data Science team provides data services and AI for the media organization. They are responsible for analyzing click-stream data on Bloomberg’s web and mobile applications, while also providing personalized news recommendations to hundreds of millions of users. To increase their subscriptions, they are using predictive analytics and modeling user behavior.

They are constantly collaborating across media teams to integrate their models and insights to increase customer engagement and to increase subscriptions via A/B testing and data-driven decisions.

What’s in it for you?
As a member of the team, you will work closely with a wide range of partners such as Product, Editorial, Ad Operations, Marketing, and other engineering teams to optimize for key metrics such as content engagement, subscription conversions, and Ad engagement. They work collaboratively to identify key business problems and areas of growth, so they can build innovative and data-driven products/applications to solve them. Based on their data analysis and ML exercises, you will present their key findings and share strategies with Media leadership. They are looking for someone to build, maintain, and expand the features of real-time APIs that leverage Kubernetes and AWS to provide other application teams the data needed to deliver engaging user experiences.

Additionally, as the owner of applications that deliver key data and insights to different teams in Bloomberg Media, you’ll play a central role in empowering other teams. This dynamic will provide you with opportunities to grow your network within the organization.

They’ll trust you to:

• • Contribute to the design, implementation, and evaluation of ML models in production

• • Prototype new approaches and production solutions at scale for Bloomberg media’s hundreds of millions of users

• • Manage multiple DR-compliant software architectures, adhering to strict requirements concerning performance, stability, and availability

• • Build, maintain, and expand the features of real-time APIs

• • Collaborate with key business partners across product, editorial, and other engineers

You need to have:

• • Expertise in Python and Java

• • 3+ years’ experience in implementing and using Classification techniques, Dimensionality Reduction algorithms, Recommendation Systems, and Optimization Algorithms

• • Experience applying Machine Learning theory to tackle practical problems, while also leading projects from incubation to large scale production deployments

• • 3+ years’ experience of Object-Oriented Design working on backend systems

• • 3+ years’ experience working on highly concurrent, real-time applications optimizing for low latency and high scalability

• • Proficient in working with and evaluating open source technologies

• • BA, BS, MS, Ph.D. in Computer Science, Engineering or related technology field

They’d love to see:

• • Passion for working with large data sets

• • Experience using Deep Learning techniques for recommendation and click-through rate prediction problems

• • Experience with public cloud platforms like AWS, GCP, and Azure

• • Interest in real-time distributed systems

• • Ability to adapt cutting edge systems to enterprise requirements including high availability and disaster recovery

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