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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.
Roles and responsibilities :
- Understand the business problem and provide data science solutions.
- Building data science solutions end to end.
- Carry out proof of concept for data science problems.
- Collaborate with product and engineering teams to build data science solutions ( end to end )
- Do exploratory data analysis to support existing and future data science projects
- Build dashboards to monitor the data science projects performance and communicate the metrics to the business team.
Preferred Qualifications :
- Work Experience : 2-3 Years of data science experience
- Machine Learning Knowledge : Well versed with Machine Learning concepts and have built ML projects end to en. Understanding of mathematical concepts behind ML models.
- Statistical Data Analysis: Proficiency in applying statistical techniques to analyze data and generate useful business insights.
- Data Visualization: Skill in creating meaningful visualizations of complex data sets using tools like Tableau, PowerBI, or Python libraries (e.g., Matplotlib, Seaborn).
- Model Evaluation and Tuning: Knowledge of techniques for evaluating and improving the performance of machine learning models.
- Coding Skills : Strong coding skills in Python. Able to write modular and reusable code.
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.
