Data Scientist 1 at CommerceIQ

Short Description:

CommerceIQ in Bengaluru seeks a Data Scientist 1 to tackle ecommerce challenges using machine learning. Responsibilities involve proposing and developing data science solutions, conducting proof of concepts, collaborating with teams for implementation, and performing exploratory data analysis. Ideal candidates possess 0-2 years of data science experience, proficiency in ML concepts, statistical analysis skills, expertise in data visualization tools, model evaluation techniques, and strong Python coding skills for modular code development.

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Data Scientist 1 at CommerceIQ 

Bengaluru, Karnataka, India

Overview of the Company

CommerceIQ is dedicated to assisting consumer brands in accelerating their retail ecommerce market share growth and profitability through the application of machine learning algorithms. We are actively constructing the world's most comprehensive and sophisticated Retail Ecommerce Management Platform. This platform intelligently automates the management of retail ecommerce channels, such as Amazon, Walmart, and Instacart, throughout the entire ecommerce operational chain. Our focus encompasses retail media management, sales operations, supply chain, and digital self-analytics.

Currently in hyper-growth mode, we recently secured our Series D funding at a unicorn valuation (>$1B) and concluded our third year with triple-digit revenue growth. Our ongoing momentum relies on acquiring new customers, expanding our platform with innovative products, overseeing new retail ecommerce platforms, and delivering exceptional customer service to maintain high net retention rates.

Roles and Responsibilities:

• Comprehend the business problem and propose data science solutions.
• Develop end-to-end data science solutions.
• Conduct proof of concept for data science problems.
• Collaborate with product and engineering teams to implement comprehensive data science solutions.
• Perform exploratory data analysis to support existing and future data science projects.
• Construct dashboards for monitoring the performance of data science projects and communicate metrics to the business team.

Preferred Qualifications:

• Work Experience: 0-2 Years of experience in data science.
• Machine Learning Knowledge: Proficient in Machine Learning concepts and experienced in building ML projects end-to-end. Understanding of the mathematical concepts behind ML models.
• Statistical Data Analysis: Skilled in applying statistical techniques to analyze data and derive meaningful business insights.
• Data Visualization: Proficient in creating meaningful visualizations of complex data sets using tools such as Tableau, PowerBI, or Python libraries (e.g., Matplotlib, Seaborn).
• Model Evaluation and Tuning: Knowledgeable about techniques for evaluating and enhancing the performance of machine learning models.
• Coding Skills: Strong coding skills in Python, with the ability to write modular and reusable code.

Please click here to apply.