Data Scientist I

Posted 7 Days Ago
Bengaluru, Karnataka
Mid level
Artificial Intelligence • eCommerce • Marketing Tech • Software • Analytics
We are building the operating system for brands to win in E-commerce.
The Role
As a Data Scientist at CommerceIQ, you will work on building state-of-the-art ML solutions for B2B SaaS products. Responsibilities include deconstructing problems, designing product strategy, prototyping solutions, working with large-scale ecommerce data, and driving productization of techniques. The role requires a Bachelor's or Master's degree in Computer Science or Maths/Stats, strong machine learning knowledge, programming skills in Python/R, and excellent communication abilities.
Summary Generated by Built In

Company Overview

CommerceIQ’s AI-powered digital commerce platform is revolutionizing the way brands sell online. Our unified ecommerce management solutions empower brands to make smarter, faster decisions through insights that optimize the digital shelf, increase retail media ROI and fuel incremental sales across the world’s largest marketplaces. With a global network of more than 900 retailers, our end-to-end platform helps 2,200+ of the world’s leading brands streamline marketing, supply chain, and sales operations to profitably grow market share in more than 50 countries. Learn more at commerceiq.ai.

.
Data Scientist - 1 | Location: Bangalore

 
What You’ll Be Doing

 
As a Data Scientist, you will work closely with Engineering/Product/Operations teams to build state-of-
the-art ML based solutions for B2B SaaS products. This entails not only leveraging advanced techniques
for predictions, time-series forecasting, topic modelling, optimisation but deep understanding of business
and product too.
Apply excellent problem solving skills to deconstruct and formulate solutions from first-principles
Work on data science roadmap and build the core engine of our flagship CommerceIQ product
Collaborate with product and engineering to design product strategy, identify key metrics to drive and
support with proof of concept
Perform rapid prototyping of experimental solutions and develop robust, sustainable and scalable
production systems
Work with large scale ecommerce data of the biggest brands on amazon
Apply out-of-the-box, advanced algorithms to complex problems in real-time systems
Drive productization of techniques to be made available to a wide range of customers
What we are looking for -

 
Bachelor’s or Masters in Computer Science or Maths/Stats from a reputed college with 2+ years of 
experience in solving data science problems that have driven value to customers
Good depth and breadth in machine learning (theory and practice), optimization methods, data
mining, statistics and linear algebra.
Exposure to ML techniques on image and text data like LLMs, OCR, embeddings etc.
Hands-on programming skills and ability to write modular and scalable code in Python/R. Knowledge
of SQL is required
Strong spoken and written communication skills, able to explain complex ideas in a simple, intuitive
manner, write/maintain good technical documentation on projects

We are looking for candidates who are curious and self-starters; obsess over customer problems to
deliver maximum value to them
Why you will love to work with us -

 
We have multiple brands, which are among the biggest brands operating on amazon, as our customers.
You will be responsible for working with their data and developing models and algorithms to drive lift in
tune of hundreds of thousands of dollars.
Opportunity to work on cutting edge technologies in text and images data like LLMs, OCR, transformer
based embeddings models
Deploy code using the most sophisticated tech stack like AWS, GCP etc.
You will own projects end to end i.e., from exploration to final production
You will be empowered to make decisions. It implies more responsibilities but high learning
Immense opportunities to learn and develop ML based SaaS products for brands and get company-
wide recognition
Forget endless meetings. Get things done and start making an impact from day 1
Work hard, have amazing fun, create history, build the future of eCommerce
Start-up environment with a strong culture and values to accelerate your career

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law. 

Top Skills

Python
R
The Company
HQ: Bengaluru, Karnataka
367 Employees
Hybrid Workplace
Year Founded: 2017

What We Do

CommerceIQ is the leader in E-commerce Channel Optimization (ECO), the practice of using machine learning, analytics and automations to optimize the e-commerce channel across supply chain, marketing and sales operations to win at the moment of purchase and drive profitable market share growth.

Why Work With Us

CommerceIQ is building innovative products in a hot market, in a pre-IPO company with a bold vision, and with passionate colleagues who are collectively building a company for the long run. We have developed a culture to support our growth and deliver a unique employee experience with market competitive pay and exceptional benefits.

Gallery

Gallery

Similar Jobs

Hybrid
Bengaluru, Karnataka, IND
289097 Employees

Caterpillar Logo Caterpillar

Lead Data Scientist

Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial
Hybrid
Bangalore, Bengaluru, Karnataka, IND
100000 Employees
Hybrid
Bengaluru, Karnataka, IND
289097 Employees

Meesho Logo Meesho

Data Scientist -I

eCommerce • Mobile
Hybrid
Bangalore, Bengaluru, Karnataka, IND
10000 Employees

Similar Companies Hiring

bet365 Thumbnail
Software • Gaming • eSports • Digital Media • Automation
Denver, Colorado
6100 Employees
Jobba Trade Technologies, Inc. Thumbnail
Software • Professional Services • Productivity • Information Technology • Cloud
Chicago, IL
45 Employees
InCommodities Thumbnail
Renewable Energy • Machine Learning • Information Technology • Energy • Automation • Analytics
Austin, TX
234 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account