Job Description

Job Description:

About the Company

Our client is an emerging leader in AI-powered supply chain optimization. Their platform helps businesses eliminate overstocking and under-stocking by leveraging advanced analytics and forecasting models. Built by supply-chain experts, the organization focuses on enabling high-growth startups to scale seamlessly by aligning supply with demand through data-driven decisions.

Key Responsibilities

Data Management: Collect, clean, wrangle, and transform complex datasets into actionable insights.
Python Automation: Write efficient scripts using Python libraries like Pandas, NumPy, SciPy to automate workflows and improve efficiency.
Data Analysis: Identify trends, analyze patterns, and present insights through dashboards, reports, and visualizations.
Cross-Functional Collaboration: Work closely with Product, Engineering, and AI Research teams to refine data models and uncover opportunities.
Continuous Improvement: Stay updated with emerging tools and techniques in data analytics to drive innovation.

Required Skills & Experience

Strong proficiency in Python and associated data libraries (Pandas, NumPy, SciPy, etc.).
Experience working with large datasets, and familiarity with SQL/NoSQL databases.
Strong analytical and statistical skills to interpret and derive insights from data.
Hands-on experience creating visualizations using Matplotlib, Seaborn, Plotly, or similar tools.
Ability to think creatively and solve problems in a dynamic, fast-paced environment.

Why This Opportunity

High Impact Role: Your insights will play a direct role in shaping AI-driven products and decision-making.
Great Culture: A collaborative team that values learning, data-driven thinking, and innovation.
Career Growth: Continuous learning support through training programs, workshops, and conferences.