As a Data Science Application Developer, you will be an integral part of the Network Analytics & Reliability Enablement (NARE) team, working within a mature, scalable agile delivery framework organized into pods. Your day-to-day responsibilities will involve collaborating with your team to architect and develop analytics applications that support the company's strategic programs for 2025 and beyond. You will deliver scalable infrastructure capable of running new data science models and onboarding additional models. Your role will require proficiency in Python, cloud services (preferably AWS), SQL, graph databases, and data pipeline development. You will also be responsible for data modeling, database design, deploying and maintaining applications in production environments, and version control using Git. Experience with various AWS services, NoSQL/document databases, container technologies, graph query languages, and in-memory data stores will be advantageous.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
HR@insightglobal.com. The EEOC "Know Your Rights" Poster is available
here.
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
https://insightglobal.com/workforce-privacy-policy/ .
- Experience with the following AWS services: S3, EC2, Lambda, StepFunctions, SNS/SQS, EKS, CloudWatch, Eventbridge, EMR and/or RDS
- Experience with NoSQL / document databases (e.g., DocumentDB, Opensearch, Elasticsearch)
- Container experience (e.g., Docker, Kubernetes)
- Experience with graph query languages (e.g., Gremlin, GraphQL)
In-memory data stores (e.g., Redis, ElastiCache)
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.