Job Directory Data Science Engineer

Data Science Engineer
New York, NY

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About

Job Description

JobDescription :

S&P Global Ratings is looking for an experienced Data Science Engineer to join Data Engineering team within Chief Data Office, a team of data and technology professionals who define and execute the strategic data roadmap for S&P Global Ratings. The successful candidate will participate in the design and build of S&P Ratings cloud based analytics platform to help develop and deploy advanced analytics/machine learning solutions.

The Team

You will be an expert contributor and part of the Rating Organization's Data Services Team. This team, who has a broad and expert knowledge on Ratings organization's critical data domains, technology stacks and architectural patterns, fosters knowledge sharing and collaboration that results in a unified strategy. All Data Services team members provide leadership, innovation, timely delivery, and the ability to articulate business value. Be a part of a unique opportunity to build and evolve S&P Ratings next gen analytics platform.

Our Hiring Manager Says

If you are an individual that brings demonstrated experience of delivering big data projects as a data science engineer,, this is an excellent opportunity. I am looking for someone with sound technical knowledge, can be hands-on, worked on transformational initiatives, and can drive results.

Responsibilities:

* Design and develop efficient and scalable data pipelines between enterprise systems and analytics platform
* Work closely with Data Science team and participate in development and deployment of machine learning models and feature engineering pipelines
* Provide technical expertise in the areas of design and implementation of Ratings Integrated Data Facility with modern AWS cloud technologies such as S3, Redshift, EMR, Hive, Presto and Spark
* Build and maintain a data environment for speed, accuracy, consistency and 'up' time
* Support analytics by building a world-class data lake environment that empowers analysts to determine insights into revenue and power products across the organization
* Work with the machine learning engineering team to build a data eco system that supports AI products at scale
* Ensure data governance principles adopted, data quality checks and data lineage implemented in each hop of the data
* Partner with the chief data office, enterprise architecture organization to ensure best use of standards for the key data domains and use cases
* Be in tune with emerging trends Big data and cloud technologies and participate in evaluation of new technologies
* Ensure compliance through the adoption of enterprise standards and promotion of best practice / guiding principles aligned with organization standards

Experience & Qualifications:

* BS or MS degree in Computer Science or Information Technology
* 8+ years of experience as data engineer at an innovative organization
* 4+ years of hands-on experience in implementing data lake systems using AWS cloud technologies such as S3, Redshift, EMR, Hive, Presto and Spark
* Expert managing AWS services (EC2, S3, Route 53, ELB, VPC, cloudwatch, Lambda) in a multi account production environment
* Experience With Machine Learning Frameworks, such as TensorFlow , PyTorch, H2O, scikit-learn, Theano, Caffe or Spark MLib is an added advantage
* Exposure to R, SparkR, SparklyR or Other R packages is a plus
* Experience in constructing fast data staging layers to feed machine learning algorithms
* Experience in building data APIs to consume analytic model output
* Familiarity with machine learning model training and deployment process is a plus
* Experience with development frameworks as well as data and integration technologies such as Python, Scala or Informatica
* Expert knowledge of Agile approaches to software development and able to put key Agile principles into practice to deliver solutions incrementally.
* Monitors industry trends and directions; develops and presents substantive technical recommendations to senior management
* Excellent analytical thinking, interpersonal, oral and written communication skills with strong ability to influence both IT and business partners
* Ability to prioritize and manage work to critical project timelines in a fast-paced environment
* Financial services industry experience

Job ID :

247333

Posted On :

5-22-2019

Location :

New York, NY US

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