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.
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.
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.
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.