AI/Machine Learning Operations Research Engineer

📁
Research and Development
📅
1900018W Requisition #

The Operation Research Team in Genesys is seeking a Data Engineer/Analyst. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.


Major Responsibilities/Activities:

  • Create and maintain optimal data pipeline architecture.

  • Assemble large, complex data sets that meet functional / non-functional business requirements.

  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using AWS ‘big data’ technologies.

  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer behavior, product usage data and key algorithm performance metrics.

  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product.

  • Work with data and analytics experts to strive for greater functionality in our data systems and research new uses for existing data.


Minimum Requirements:

  • Knowledge of object-oriented language, including Java, C++, C#, or Python.

  • Knowledge of Hadoop, MapReduce, HDFS, Scala, Spark.

  • Experience working with large structured and unstructured data sets.

  • Demonstrated ability to conduct and interpret quantitative and qualitative analyses.

  • Expertise leveraging R, SAS Python, and SQL to generate and deploy modeling solutions.

  • Experience using data visualization tools such as Tableau to analyze and present data.

  • MS in Data Science, Computer Science, Statistics, Mathematics or related field preferred.


About Us:


Genesys® powers more than 25 billion of the world’s best customer experiences each year. We put the customer at the center of everything we do and passionately believe that great customer engagement drives great business outcomes. More than 10,000 companies in more than 100 countries trust the industry’s #1 customer experience platform to orchestrate omnichannel customer journeys that eliminate silos and build lasting relationships. With a strong track record of innovation and a never-ending desire to be first, Genesys is the only company recognized by top industry analysts as a leader in both cloud and on-premise customer engagement solutions. Connect with Genesys via www.genesys.com, Twitter, Facebook, YouTube, LinkedIn, and the Genesys blog.


Genesys is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.  



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