Data Scientist - Time Series Analysis

What role you will play in team: Develop and implement time series analysis models to improve forecasting and decision making.

What you will do: Design and build advanced time series models for various business applications.

Key responsibility:

• Develop and implement time series forecasting models.
• Analyze historical data to identify patterns and trends.
• Evaluate model performance and accuracy.
• 
  Communicate findings and insights to stakeholders.
• Collaborate with other data scientists and business units.

Required Qualification and Skills:

• Master's degree in Statistics, Mathematics, or related field.
• 3+ years of experience in time series analysis.
• Proficiency in Python or R.
• Experience with time series libraries such as statsmodels or Prophet.
• Strong understanding of statistical methods.

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Benefits Included:

• Competitive salary and benefits package.
• Opportunities for professional development.
• Collaborative and supportive work environment.
• The opportunity to work on challenging and impactful projects.

A Day in the Life: You will focus on model building, data analysis, model validation, and collaboration with business users.