Full Stack Engineer, Data Visualization & Architecture
Comedy Central
New York, NYThis was removed by the employer on 5/2/2017 12:55:00 PM PST
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Full Time Job
Overview and Responsibilities
In this role, the ideal candidate will join an exciting new department at Viacom (Audience Strategy Insight & Innovation) that touches all of the hottest topics in the TV research industry today… big data, data visualization, predictive content/show analytics, total cross-platform consumption and forecasting, and most importantly, translation of data into new products, visuals, tools, and insights.
As a Full Stack Engineer, you will work closely with our data scientists and product architects to design/build out a web-based platform to host and visually display our integrated data assets and analytical algorithms, as well as develop the front-end visualization of the platform for use by our research/marketing stakeholders.
Core Responsibilities
Our new and exciting team is looking for an experienced, hands-on Full Stack Engineer with a passion for story telling, out-of-the-box thinking, problem solving, as well as experience in big data, compelling visualizations, and web-platform architecture. The Full Stack Engineer will work with a tight product team consisting of TV experts who will define the business cases, and data scientists who will model the data for continuous insights and solutions. The primary role of the Developer/Engineer will be to lead the design and development of a web-based, data-driven research tool that will pull disparate data sets from the cloud, integrate advanced statistical algorithms, bring our data/analytics to life, and to tell stories for the front-end user.
Basic Qualifications
• 5 years of experience in full stack web development, and building out front-end user experiences
• Expertise in Javascript (core language, Node.js, asynchronous patterns, working knowledge of at least one framework including React, Angular, Backbone, etc.)
• BA/BS or MS degree in Computer Science, Media Science, Economics, Statistics, Engineering, Math or other quantitative field (or equivalent practical experience)
• Experience developing scalable, responsive data-driven web platforms in a team-oriented production environment
• Experience building single-page applications
• Experience with front-end libraries (e.g., D3.js, Google Charts, cssplot, Bootstrap)
• Proficiency in Python, HTML5, CSS, Git/Github
• Experience with at least one compiled language (e.g., C/C , Java)
• Proven track record in building out user experiences with data to tell the story
• Proficiency in databases (eg. PostgreSQL, Redis), REST APIs, authentication systems
• Programming experience working in a cloud environment (e.g., AWS).
• Solid foundation in data structures and software design with strong analytical and debugging skills
Additional Qualifications
• Strong design sense
• Experience with computer graphics (OpenGL, shaders, and related technology)
• Understand all types of data sets (e.g., metered measurement data, other syndicated data, survey data, social data)
• Published apps in the Apple or Android ecosystem
• Experience with DevOps (eg. orchestration, unit testing, performance monitoring, release management, infrastructure configuration, and web security)
• Experience with Docker, Ansible, Chef, or Puppet
• Experience with the Python data analysis stack (numpy, pandas, sklearn)
• Creative thought leader and problem solver who thrives in a ‘think tank-ish’ entrepreneurial environment
• Strong team player and contributor, leader, manager, mentor, and positive catalyst
• Effective verbal and written communication skills to be able to work successfully with key stakeholders, communicate with upper management, and drive enthusiasm and adoption of new products
• Ability to multi-task, work under deadlines, within a very dynamic, fast-paced, and forward thinking environment
• Experience in working with, and passionate about: data science, big data, survey data, social data, cloud environments, data platform architecture, BI, data visualization, data automation