Engineer 2, Data Science

Title: Engineer 2, Data Science

Experience: 2-5 years

We are looking for a solid data science engineer that would be part of our rapidly growing Data & Metrics squad that's part of the Content Discovery crew that owns the full stack and operationalization of our personalized product offerings. You will be responsible for designing and building data and training pipeline components for the Comcast Personalization/Relevance Platform that is used by millions of customers of Comcast and its partners every day. We use sophisticated Data Pipelines which consume, and process millions of events generate training datasets and populate the usage events to the highly scalable and performant databases. Responsible for Development and Maintenance of highly Performant Java/Python based Microservices to Kubernetes Cluster that return the usage events. You will work with other engineers and researchers to build a variety of Machine/Deep Learning models over this data to personalize the content the users watch. As a key member of the team, you will help define, refine, and test state-of-the-art data/training pipelines, and scale the associated systems for high performance, stability, and availability in the cloud.

Comcast's Technology, Product & Experience organization encourages career development with regular opportunities for training and programs for innovative cross-team projects such as week-long Hackathon and job rotation programs over the summer. 

Core Responsibilities: 

Building the data and training pipelines that fuel the personalization and relevance platform. 

Good understanding with various Machine/Deep learning models 

Able to identify some basic models to be used to solve some straight-forward problems and implement them. 

Able to write efficient and performant code. 

Developing a platform that applies continuous delivery principles to the deployment of these pipelines. 

Using data and metrics to inform your decision making. 

Using infrastructure as code wherever vital. 

Using Workflow management tools. 

Building proof-of-concept applications or conducting exploratory experiments for the platform. 

Collaborating with your quality assurance and technical operations peers as one team. 

Resisting the accrual of "technical debt" in our systems. 

Mentoring more junior members of the technical staff, performing code reviews, and owning the team to be effective and agile. 

Working in a self-driven environment where engineers own their products end to end. 

Staying educated on technical developments and tools vital for the design and maintenance of complex, distributed platforms. 

Understanding of TensorFlow is a plus 

Qualifications: 

BE in Computer Science, Computer Engineering or related technical field. Advanced degree preferred. 

Generally, requires 2-5 years related experience 

2+ years of server-side or cloud development experience (preferably AWS) 

Proficient with one or more general purpose programming languages – Python, Java, Scala, or Go

Experience in development and maintenance of Java/Python based Microservices (Spring Boot, Vert.x) 

Hands-on experience with distributed processing technologies. 

Experience developing service-oriented architectures and an understanding of design for scalability, performance and reliability 

Experience deploying and maintaining production services in AWS. 

Experience with workflow management tools to schedule and monitor the jobs. 

Experience with continuous integration, test-driven-development, automated unit and integration testing 

Experience with infrastructure as code technologies.