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Senior Quantitative Analyst, Data Science

Company: National Grid USA
Location: Hicksville
Posted on: March 28, 2020

Job Description:

About us

National Grid is Hiring a Senior Analytics Software Engineer in our Hicksville, NY location.

Every day we deliver safe and secure energy to homes, communities, and businesses. We are there when people need us the most. We connect people to the energy they need for the lives they live. The pace of change in society and our industry is accelerating and our expertise and track record puts us in an unparalleled position to shape the sustainable future of our industry.

To be successful we must anticipate the needs of our customers, reducing the cost of energy delivery today and pioneering the flexible energy systems of tomorrow. This requires us to deliver on our promises and always look for new opportunities to grow, both ourselves and our business.Job Purpose

To develop cloud based advanced analytical and big data software solutions. Design, develop and test production level object-oriented software solutions that are scalable, secure and integrate with other solutions as needed.Key Accountabilities

The Software Engineer is responsible for collaborating with the different stakeholders within the ADA team to design, develop, and test production level software to meet the advanced analytical business need. He/she will need to able to build application programming interfaces, integrate software with databases, program in an object-oriented manner, and package software for reusability by other software components. Development is expected to be cloud ready, taking full advantage of cloud services and tools that are necessary in the functional realm of advanced big data and analytics.

The incumbent is expected to have breadth and depth knowledge of Programming / Software Development, Data Architecture, and Data Engineering. Incumbents should be prepared to work in a highly multi-tasked environment with rapidly changing business priorities. Ability to work cross functionally and in an Agile Team setting are a must.

The Incumbent will be expected to:

Have an understanding as to how advanced analytical models (Artificial Intelligence, Machine Learning, etc), tools and analyses work.

Design, develop, and test software in the advanced analytical and big data discipline.

Collaborate with the Quantitative Analysts, Data Scientists, Data Engineers and IS Operations team to enable the packaging, optimization and documentation of software to deploy it in production environment

Be able to troubleshoot/debug major issues as needed.

Work with the ADA team members and be able to anticipate future developmental requirements.

Be able to understand the business requirements that are requested in a project and translate them into technical specs and deliver actionable and scalable software solutions

Be able to facilitate discussions based on varying levels of technical expertise of the audience.

Develop set of guiding principles and best practices to enable Analytical model developers in developing production ready code.

Set the standard for managing source code in adopting version control best practices.

Being able to adapt to the changing priorities in the business and demonstrate flexibility in working on developing and supporting different software components.Supervisory/Interpersonal- Experience Required




  • Experience in project management and stakeholder-based delivery.
    Qualifications

    Minimum bachelor degree in engineering, mathematics, applied computer science, applied management science or operations research.

    Expertise in relational databases, stored procedures, SQL, Non-SQL database systems and state-of-the-art programming languages including R and Python

    Knowledge of networks and firewalls

    Ability to write code in one or more scripting languages: spark, R, Python, Ruby, Java

    Has in-depth experience working with SQL Databases (Oracle, SQLServer, PostgreSQL)

    Capable of working with

    Non-SQL Databases (Hadoop, MongoDB, Cassandra) and Geospatial Databases

    Image Databases

    Snowflake Data Warehouse

    ETL Pentaho, Kettle, SSIS

    AWS (Amazon Web Service) Infrastructure Deployment & Multi-thread Programming, Cloud administration, IAM, VPC, EC2, RDS, EMR, S3, EBS, ELB

    Distributed Process Management Elastic MapReduce (EMR), SPARK

    Software engineering skills (e.g. distributed computing, algorithms and data structures)

    Possess deep and demonstrable skills utilizing various open source programming languages necessary to develop advanced analytical and big data software.

    Ability to follow through on project management best practices.

    Ability to design and develop software solutions that can be leveraged across multiple projects and have scale for the future

    Masters degree in a computer science discipline is strongly preferred, with a background in computer programming and/or a minimum of 3-5 years experience in advanced data processing and software development is desired. Exceptional candidates considered with Bachelors degree or Masters degree in progress.

    2-3 years of Spark, Java and Python development experience

    2-3 years with SQL, NoSQL, and data warehousing concepts

    2-3 years with RDBMS

    2-3 years of designing and developing cloud-based object-oriented software solutions

    Communication Skills

    A willingness to be proactive in sharing thoughts and opinions

    Capacity to communicate technically and in laymens terms

    Comfortable interacting with all levels of the organization

    Ability to learn and use multiple data models quickly

    Ability to learn multiple programming languages/ database engines for the purposes of developing and analyzing data models for various advanced analytical and big data purposes

    Fully versed in various Operating System environments: Windows Server and Linux, system task scheduling, Bash programmingMore Information

    Valid drivers license required with a safe driving history that meets National Grids Safe Driver policy.

    National Grid is an equal opportunity employer that values a broad diversity of talent, knowledge, experience and expertise. We foster a culture of inclusion that drives employee engagement to deliver superior performance to the communities we serve. National Grid is proud to be an affirmative action employer. We encourage minorities, women, individuals with disabilities and protected veterans to join the National Grid team.

Keywords: National Grid USA, Hicksville , Senior Quantitative Analyst, Data Science, Professions , Hicksville, New York

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