Data Scientist - Consumer Anaytics, Forecasting
Tasks
- Analyze datasets and generate insights
- Build predictive models
- Collaborate with cross-functional teams
- Conduct model evaluation and ROI measurement
- Deploy predictive models
- Engineer features
- Gather business requirements and design analytical approaches
- Manage end to end data science initiatives
- Perform hyperparameter tuning
- Prepare data
- Support business planning and forecasting
- Support pre-sales technical presentations
- Translate insights into recommendations
- Validate and optimize models
Perks/Benefits
- Autonomy and trust
- Career progression paths
- Charitable and environmental initiatives
- Community learning opportunities
- Comprehensive onboarding
- Diverse Inclusive Workplace Culture
- Employee referral program
- Flexible working hours
- Fully remote work
- Online learning platforms
- Technology certification support
- Wellness initiatives
Skills/Tech-stack
Azure | Causal Inference | Cloud platform | Databricks | Decision Trees | Deep learning | Ensemble Models | Feature Engineering | Forecasting | Google Cloud | Google Cloud Platform | Hyperparameter Tuning | Linear Regression | MLOps | Machine Learning | Model Validation | Python | Reinforcement Learning | SQL
Education
N/A
Roles
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