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Mid-level metro data role at a known employer with remote option and broad skillset increases applicant competition.
Core data and cloud skills transfer well, though contact-center experience preference increases domain specificity.
Explicit 5+ years plus mandatory Elasticsearch, cloud, and programming skills create strict shortlisting filters.
Own design, implementation, and continuous improvement of AI-powered data pipelines, models, and real-time analytics solutions for customer experience platforms.
Collaborate with business customers, data science teams, and engineering to gather requirements, deliver solutions, and incorporate feedback.
Visualize, present findings, and transfer knowledge to both customers and internal teams while managing multiple projects independently.
Bachelor’s or Master’s degree in quantitative fields such as Computer Science, Statistics, or Engineering.
5+ years of experience in Data Science or Data Engineering with hands-on development in Elasticsearch, Kibana, and real-time analytics.
Proficiency with programming languages including JavaScript, Node.js, or Python, and experience in AWS/Azure/GCP application development.
Work Experience Required: 5+ years relevant experience (explicitly mentioned).
Demonstrates strong expertise in data modeling, ETL/ELT pipelines, and cloud-native application development particularly leveraging AWS services (Lambda, ECS, EKS, Docker, SQS).
Experienced in independently delivering complex projects involving AI-powered customer experience platforms and real-time analytics.
Comfortable interfacing with global teams, managing multi-project workflows, and presenting technical data insights to diverse stakeholders.