DevOps Engineer


: $107,040.00 - $160,420.00 /year *

Employment Type

: Full-Time


: Information Technology

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Looking for local candidates in NJ/NY only and its a Fulltime position.

The candidate will work closely with the team's data scientists to develop and test models using the latest machine learning and optimization technologies and methodologies. The candidate will also have responsibility for deploying and maintaining the analytical models that enable key initiatives within the organization's sales and marketing team

Responsibilities and Education:

  • Masters in Computer Science, Statistics, Mathematics, Operations Research, or related fie

  • Deep expertise in testing, integrating, and deploying models at scale (DevOps)

  • Strong understanding of predicting modeling and optimization

  • Demonstrated hands-on experience in production-grade software engineering

  • Strong analytical mind and business acumen; ability to understand business impact of deployed models to effectively track their implementation

  • Excellent interpersonal, written, and verbal communication skills; demonstrated ability to effectively communicate complex ideas to a non-technical audience

  • Fluency in English required

Required skills:

  • Experience in DevOps, testing, integrating, deploying, and maintaining models with Agile development methodology

  • Expertise with CRM and marketing automation tools (e.g. Salesforce, Marketo)

  • Experience in in building predictive models in R or Python/Pandas

  • Experience in writing production-quality APIs to interface with systems like and creating web tools

  • Experience in large-scale/distributed computing and analytics (Hadoop, Spark)

  • Experience with source control and collaboration tools (e.g. Git)

  • Working in a cloud environment (Azure, AWS, Google Cloud)

  • Working in Microsoft tech stack including Azure a plus

- provided by Dice
Associated topics: .net, algorithm, application, devops, java, matlab, php, sde, software developer, software engineer * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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