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Data Scientist/ML Engineer
FenixCommerce
Full-time
Noida, Uttar Pradesh
Mathematical Science Occupations
Posted:
June 06, 2026
Location:
Noida, Uttar Pradesh, India
Job Description
Data Scientist / Machine Learning Engineer
Company:
FenixCommerce
Location:
Noida, India (On-site / Hybrid)
Type:
Full-time
Team:
Data Science & Machine Learning Engineering
About FenixCommerce FenixCommerce is an AI-powered shipping intelligence platform that helps the world's leading e-commerce brands turn delivery into a competitive advantage. Our products — from accurate estimated delivery dates (EDD) to carrier optimization, ship-from-store routing, and AI-driven operations tooling — run on real-time data at enterprise scale.
Our engineering team in Noida builds the systems behind it: a high-throughput, event-driven platform processing millions of shipments, powering the predictive models that decide what we tell shoppers and how brands move freight. We're looking for a Data Scientist / ML Engineer who wants to own meaningful models end to end — from raw data to production impact.
The Role This is a h...
Company:
FenixCommerce
Location:
Noida, India (On-site / Hybrid)
Type:
Full-time
Team:
Data Science & Machine Learning Engineering
About FenixCommerce FenixCommerce is an AI-powered shipping intelligence platform that helps the world's leading e-commerce brands turn delivery into a competitive advantage. Our products — from accurate estimated delivery dates (EDD) to carrier optimization, ship-from-store routing, and AI-driven operations tooling — run on real-time data at enterprise scale.
Our engineering team in Noida builds the systems behind it: a high-throughput, event-driven platform processing millions of shipments, powering the predictive models that decide what we tell shoppers and how brands move freight. We're looking for a Data Scientist / ML Engineer who wants to own meaningful models end to end — from raw data to production impact.
The Role This is a h...
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Job Type:
Full-time
Location:
Noida, India
Posted:
June 06, 2026
Deadline:
July 16, 2026