Lead Full Stack Developer, Data Science Engineering

  • Competitive
  • New York, NY, États-Unis
  • CDI, Plein-temps
  • S&P Global
  • 11 déc. 18

Lead Full Stack Developer, Data Science Engineering

JobDescription :
The Team
The Data science team is a newly formed applied research & software engineering team within S&P Global Ratings that will be responsible for building and executing a bold vision around using Machine Learning, Natural Language Processing, Data Science, knowledge engineering, and human computer interfaces for augmenting various business processes.

The Impact
This role will have a significant impact on the success of our data science projects, delivering the highest quality software and data engineered solutions, ultimately enabling and augmenting our business processes and products with AI and Data Science capabilities.

What's in it for you
This is a high visibility team with an opportunity to make a very meaningful impact on the future direction of the company. You will work with senior members of the team to help define, design and build the systems. You will work closely with other senior technical staff across the company to create state of the art user interfaces/experiences and engineering solutions that will integrate with Augmented Intelligence, Data Science and Machine Learning based back-end services.

Responsibilities
As a Lead Full Stack Engineer you will be responsible for building user interface and server-side components, and their integrations with databases and cloud based back-end services. You will need to rapidly prototype various UI components and back-end services and test their efficacy using appropriate testing and validation processes, and iteratively enhance the system to be robust and scalable. You will have to mentor junior developers and manage their day-to-day development tasks during or after sprints.

Basic Qualifications
BS in Computer Science or Engineering with 10-15 years of relevant industry experience.

Preferred Qualifications

  • MS in Computer Science or Engineering with 10-15 years of relevant industry experience.
  • Experience programming in a high-level language (e.g. Java, Scala, Python)
  • Experience with JavaScript and web application development frameworks such as Spring, Angular or React
  • Experience with distributed computing platforms, such as Hadoop (Hive, HBase, Pig) and Spark
  • Understanding of RESTful APIs, and integration experience with databases (SQL and NoSQL, Oracle, MySQL, Cassandra, MongoDB)
  • Experience with web application servers such as Apache, Tomcat, WebLogic and associated frameworks such as Spring, Spring MVC and ORM
  • Experience writing unit and functional tests and using testing frameworks
  • Experience working with cloud based managed services such as Amazon EMR, RDS, S3, etc.
  • Comfortable with Linux, dependency management, build, CI/CD and DevOps tools
  • Integration experience with information retrieval and search engines, e.g. Solr/Lucene/Elastic Search
  • Knowledge of machine learning, natural language processing and data mining techniques


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