Data Scientist at Ascendion Inc.
Durham, NC
About the Job
About Ascendion
Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.
Ascendion | Engineering to elevate life
We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:
- Build the coolest tech for world’s leading brands
- Solve complex problems – and learn new skills
- Experience the power of transforming digital engineering for Fortune 500 clients
- Master your craft with leading training programs and hands-on experience
Experience a community of change makers!
Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.
About the Role:
Job Title: Data Scientist
Key Responsibilities:
This engineer will continue this work – they’ll use the scripts get report clusters, see if they’re able to be consolidated, identify common fields/attributes for cluster.
You’ll use Python scripts to run all of this. The foundation is already laid for this exercise, just need someone to build on it, expand and tweak it.
Minimum Qualifications
Strong knowledge of Python libraries
Need OpenAI knowledge – using python scripts to query OpenAI to get clusters.
Knowledge of a reporting tool – their reporting metadata is reported in clusters.
Familiarity with VetorDB
Knowledge of AI for model training and development
Ability to create and execute workflows.
Understanding of AWS environment