Data Scientist

Must have skill : Strong Time Series forecasting, ML, deep learning and standard statistical methods to evaluate models. Experience working on supply chain projects.

Job Description : We are seeking a highly skilled Data Scientist to join our team. The ideal candidate will be a self-motivated, analytical problem solver who enjoys diving into data, developing algorithms, and interfacing between technical teams and business stakeholders.

Key Responsibilities :

• Design and implement advanced machine learning algorithms for time series forecasting.
• Conduct exploratory data analysis using Python, SQL, and other tools.
• Develop and deploy deep learning models to improve forecasting accuracy.
• Collaborate with cross-functional teams including product managers, software engineers, and other scientists.
• Communicate findings and insights through data visualization tools like Tableau or Power BI.
• Stay updated with the latest research and advancements in demand forecasting and machine learning.

Qualifications :

Preferred Qualifications :

Note : We want to find people with strong Time Series forecasting, ML, deep learning (we want to explore neural networks as well), and standard statistical methods to evaluate models. For the Time Series, we look for someone who understands advanced time series forecasting techniques not just experience with ARIMA models.

We want someone who has worked in CPG industry and worked on demand planning for fast moving goods. This means the person should have experience working on supply chain projects