Data Scientist - Time series and forecasting
Tasks
- Build classification and forecasting solutions
- Collaborate to deploy models with batch scoring APIs and monitoring
- Create visualizations and reports for stakeholders
- Document data sources modeling assumptions and experiments
- Engineer features for tabular and time series data
- Evaluate models using business KPI metrics
- Perform exploratory data analysis and data cleaning
- Train, validate, and tune machine learning models
Perks/Benefits
- Certificate training programs
- Charity and environment support
- Employee referral bonuses
- Flexible working hours
- Health and well-being support
- Online onboarding program
- Remote or office flexibility
- Stable employment
- Unlimited Udemy learning access
- Upskilling support
Skills/Tech-stack
APIs | Azure | Cloud platform | Data Analysis | Data cleaning | Databricks | Decision Trees | Exploratory Data Analysis | Feature Engineering | Google Cloud | Google Cloud Platform | Gradient boosting | Hyperparameter Tuning | Linear Regression | Logistic Regression | MLOps | Machine Learning | Model Evaluation | Neural Networks | Python | SQL | Series forecasting | Time Series | Time Series Forecasting | Tree-based Models
Education
N/A
Roles
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