Data Scientist I
Bengaluru, Karnataka, India
CommerceIQ
Company Overview
At CommerceIQ, we help consumer brands accelerate their retail ecommerce market share growth and profitability through machine learning algorithms. We are building the world’s most complete and sophisticated Retail Ecommerce Management Platform, which connects and intelligently automates the management of retail ecommerce channels like Amazon, Walmart, and Instacart, across the entire ecommerce operational chain of retail media management, sales operations, supply chain, and digital self analytics.
We are in hyper growth mode, having recently raised our Series D funding at unicorn valuation (>$1B) and ended our third year of triple-digit revenue growth. Continued acceleration of our growth is fueled by landing new customers, expanding our platform through new products, managing new retail ecommerce platforms, and delivering exceptional customer service to unlock high net retention rates.
.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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Computer Science Data Mining E-commerce Engineering GCP Linear algebra LLMs Machine Learning OCR Prototyping Python R SQL Statistics
Perks/benefits: Career development Startup environment
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