Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.
We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.
Summary:
Interface with business customers, gathering and understanding requirements.
Interface with customer and Genesys data science teams in discovery, extraction, loading, data transformation, and analysis of results.
Define and utilize data intuition process to cleanse and verify the integrity of customer & Genesys data to be used for analysis.
Implement, own, and improve data pipelines using best practices in data modeling, ETL/ELT processes.
Build, improve, and provide ongoing optimization of high-quality models.
Work with PS & Engineering to deliver specific customer requirements and report back customer feedback, issues, and feature requests.
Continuous improvement in reporting, analysis, and overall process.
Visualize, present, and demonstrate findings as required.
Perform knowledge transfer to customer and internal teams.
Communicate within the global community respecting cultural, language, and time zone variations.
Demonstrate flexibility to adjust working hours to match customer and team interactions.
Desired Candidate Profile :
Bachelor’s / Master’s degree in quantitative field (e.g., Computer Science, Statistics, Engineering)
8+ years of relevant experience in Data Science or Data Engineering
8+ years of hands-on experience in Elasticsearch, Kibana, and real-time analytics solution development
Hands-on application development experience in AWS/Azure/GCP and it is good to have experience in Snowflake, Tableau, or ELK
Good working knowledge on any programming language like Java, NodeJS,Python.
Application development background of using any contact center product suites such as Genesys, Avaya, Cisco etc. is an added advantage
Expertise with data modeling, data warehousing, and ETL/ELT development
Proficiency with REST API, JSON, AWS
Experience in working and delivering projects independently.
Ability to multi-task and context switch between projects and tasks
Curiosity, passion, and drive for data queries, analysis, quality, and models
Excellent communication, initiative, and coordination skills with great attention to detail.
Ability to explain and discuss complex topics with both experts and business leaders.
Desired Skill Set:
Hands on Experience with JavaScript , Node.JS or Python
Hands experience with AWS Application development, (Lambda, ECS Fargate, EKS, Docker , SQS, etc..)
If a Genesys employee referred you, please use the link they sent you to apply.
About Genesys:
Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com.
Reasonable Accommodations:
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Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.
