At CommerceIQ, we are building the world’s most sophisticated E-commerce Channel Optimization software to help brands leverage Machine Learning, Analytics and Automation to grow their E-commerce business on all channels, globally.
Using CommerceIQ as a single source of truth, customers have driven 40% increase in incremental sales, 20% improvement in profitability and 32% reduction in out of stock rates on Amazon.
What You’ll Be Doing
As a Senior 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
You would be working with and mentoring fellow team members on the owned charter
What We Are Looking For -
Bachelor’s or Masters in Computer Science or Maths/Stats from a reputed college with 4+ 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. Experience in NLP would be an advantage
Hands-on programming skills and ability to write modular and scalable code in Python/R. Knowledge of SQL is required
Familiarity with distributed computing architecture like Spark, Map-Reduce paradigm and Hadoop will be an added advantage
Strong spoken and written communication skills, able to explain complex ideas in a simple, intuitive manner, write/maintain good technical documentation on projects
Experience with building ML data products in an engineering organization interfacing with other teams and departments to deliver impact
We are looking for candidates who are curious and self-starters; obsess over customer problems to deliver maximum value to them.
Data scientist, Machine Learning, data science, data analyst
Job Type: Full-time
Experience
Data Scientist: 3 years (Required)
Application Question
Looking for product based industry experience from tier 1 /tier 2 colleges (NIT ,BIT, IIT,IIIT, BITS, Strong Profiles)
Skills:- Data Science, R Programming, Python and Machine Learning (ML)
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