Job Details

Job Description:

Responsibilities:

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

Qualifications:

1. Bachelor's or master's degree in computer science, Statistics, Mathematics, Data Science, or a related field.
2. 3+ years of experience in machine learning, statistical modeling, and data analysis.
3. Proficiency in programming languages such as Python and SQL.
4. Experience with time series forecasting techniques (e.g., Prophet, ARIMA, Holt-Winters, neural networks).
5. Strong problem-solving skills and ability to work in a fast-paced environment.
6. Excellent communication and presentation skills.

Preferred Qualifications:

1. Experience with cloud platforms like GCP.
2. Previous experience in demand forecasting or related fields.