Data Scientist - Time Series Analysis

What role you will play in team

Develop and implement time series models for forecasting sales and revenue.

What you will do

You will build predictive models and provide insights to improve business decisions.

Key responsibility

• Develop and implement time series models using statistical and machine learning techniques.
• Analyze time series data to identify trends and patterns.
• Forecast sales and revenue using time series models.
• Communicate findings to stakeholders and make recommendations for improvement.
• Monitor model performance and identify areas for improvement.

Required Qualification and Skills

• Master's degree in Statistics, Data Science, or a related field.
• Experience with time series analysis techniques.
• Proficiency in Python or R.
• Experience with machine learning libraries such as scikit-learn or TensorFlow.
• Strong analytical and problem-solving skills.

Benefits Included

• Competitive salary and benefits package.
• Opportunities for professional development.
• A challenging and rewarding work environment.
• Flexible work hours.

A Day in the Life

A typical day involves data analysis, model development, forecasting, and stakeholder communication.