About the job
Data Scientist - Time Series Forecasting Responsibilities: • Work on end-to-end classification and forecasting use cases. • Explore and clean data; perform EDA to understand data and flag data quality issues. • Train, validate, and tune standard ML models. • Evaluate models with appropriate metrics that impact business KPIs. • Build clear visualizations and concise reports to present model results and insights to business stakeholders. • Collaborate with data engineers and AI engineers to bring models into production. What We're Looking For: • Must Have: Commercial experience with various classical data science and Machine Learning (ML) models. • Knowledge of customer analytics concepts or advanced forecasting. • Fluency in Python and basic working knowledge of SQL. • Knowledge of specific DS/ML libraries.
Requirements
- Data Science
- Machine Learning
- Python
Qualifications
- Bachelor's degree
- Experience in data science roles
Preferred Technologies
- Data Science
- Machine Learning
- Python
Benefits
- Stable employment
- Flexible working hours
- Unlimited access to learning platforms
About the company
LinkedIn is committed to fostering an inclusive community promoting diversity, equity, and ethical practices. They focus on building a respectful workplace and believe that diversity contributes to personal and business growth.
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