Company Overview:
Intelligence Node® is a real-time retail intelligence platform that empowers businesses to drive product-level profitability and grow margins using data-driven real-time competitive insights. Intelligence Node's cutting-edge technology leverages AI to aggregate and analyze billions of data points across 1,900 retail categories in 34 global markets. Intelligence Node’s business model provides a comprehensive suite of solutions encompassing product matching, digital shelf analytics, assortment & availability, pricing & promotions, and brand compliance, to aid retailers and brands in all strategic and operational decision-making. Its patented product matching engine and proprietary AI offer 99% data accuracy and 10-second data refresh rates. In December 2024, Intelligence Node was acquired by Interpublic Group (IPG), a global leader in marketing solutions. Joining forces with IPG through this strategic acquisition allows Intelligence Node to deliver a future-ready combined solution to companies navigating the complexities of today's commerce landscape. Together, we can provide the comprehensive data, advanced analytics, and strategic expertise that enterprise brands and retailers need to win market share and drive sustainable growth.
Job Description:
As a Junior Data Scientist, you will work closely with senior data scientists and business stakeholders to identify data-driven insights and opportunities.
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 analytics.
Required Skill Set
A minimum of 2-3 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
Desired profile of the candidate
Excellent verbal and written communication skills. Able to effectively present analytics data to business users.
Self-starter with a data-driven approach and an ability to prioritize in a fast-paced environment. Results driven focused, and analytical
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