Intelligence Node is an AI-driven price and competitive intelligence platform that empowers businesses to drive product level profitability and grow margins. With unmatched accuracy and speed, we detect market micro-movements and amplify these signals above the day-to-day data noise so that retailers and brands can make decisions in minutes, not days or weeks.

At Intelligence Node, we are on a mission to provide retailers and brands the most accurate picture of the online buying experience, so they can compete and win in the age of Amazon. We are funded by top Venture Capitalists and Angel Investors, are scaling rapidly, and feed the growth of more than $600 billion in retail revenue globally.

We are proud to be the solution of choice for category leaders like Lenovo, Nestle, Lidl, Clos19, Prada, Li & Fung, and many others. We are a purpose-driven company built on the three core values: make amazingly great products, stay laser-focused on the customer experience, and value the lives of our employees. We strongly believe that our dedicated and highly skilled employees make the company and their growth and development is as important to us as the success of our company.

We're innovators, developers, growth hackers, rebels, and retail savants working together to revolutionize how retail does business. If you like the idea of working in a dynamic, hyper-growth workspace on cutting-edge retail-tech products that make real global impact, then we want to get to know you!

As a Junior Data Scientist, You Will Work Closely With Senior Data Scientists And Business Stakeholders To Identify Data-driven Insights And

• Analyze retail data sets using statistical techniques and machine learning algorithms
• Develop predictive models to support business decisions in the retail sector
• Collaborate with senior data scientists and business stakeholders to identify data-driven insights and opportunities
• Develop and implement data pipelines for data processing and preparation
• Support the development of reports and dashboards to visualize and communicate data insights
• Stay up-to-date with the latest developments in the field of data science and retail :
• A minimum of 3-9 years of experience in Data Science with a strong understanding of Python and its data science libraries such as NumPy, Pandas, and Scikit-learn
• Strong understanding of statistical techniques and their applications in the retail sector
• Experience with machine learning algorithms and their applications in the retail sector
• Familiarity with retail data sets and the ability to clean, manipulate, and prepare data for analysis
• Excellent communication skills and the ability to work collaboratively in a team environment.
  
  

Technical Skills Required

• Python: pandas, numpy (expert level) framework: TensorFlow, Keras, PyTorch (basics)
• APIs: Flask, FastAPI
• Machine Learning: understanding of classification and regression-based algorithms
• Deep Learning: Basic knowledge of Neural Nets
  
  

Qualification : Bachelor's or master's degree in computer science, Mathematics, Statistics, or related fields.