Data Science Engineer
Data Science Engineer build and maintain the systems that allow data scientists to access and interpret data. They work more closely with underlying technology than a data scientist. The role generally involves creating data models, building data pipelines, and overseeing extract, transform, load (ETL).
Apply Link
https://careers.irissoftware.com/job/Noida-Data-Science-Engineer-UP/25392844/?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic
Why Join Us?
Are you inspired to grow your career at one of India’s Top 25 Best Workplaces in IT industry? Do you want to do the best work of your life at one of the fastest growing IT services companies? Do you aspire to thrive in an award-winning work culture that values your talent and career aspirations?
It’s happening right here at Iris Software.
About Iris Software
At Iris Software, our vision is to be our client’s most trusted technology partner, and the first choice for the industry’s top professionals to realize their full potential.
With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services.
Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.
Working at Iris
Be valued, be inspired, be your best.
At Iris Software, we invest in and create a culture where colleagues feel valued, can explore their potential, and have opportunities to grow.
Our employee value proposition (EVP) is about “Being Your Best” – as a professional and person. It is about being challenged by work that inspires us, being empowered to excel and grow in your career, and being part of a culture where talent is valued. We’re a place where everyone can discover and be their best version.
Job Description
Must-Have:
• Development experience in working through Data Science and particularly with GenAI
• Should have good working knowledge of Python
• Should be smart to learn and work on various technology stacks, able to create vectors for storing and retrieving data that fuels AI models.
• Should have excellent communication skills.
• Should be able to provide overlap by working from 1 to 10 p.m.
Good To Have:
• Capital Market Domain Experience
Mandatory Competencies
Data Science – AI
Python – Python
Beh – Communication and collaboration
