Senior Data Scientist, Global Data Science
Tasks
- Advise stakeholders on best practices and tooling
- Apply AI GenAI and LLMs to marketing analytics
- Build predictive models
- Conduct cross market meta learning
- Define measurement ROI frameworks
- Design and implement modeling components
- Develop simulations forecasting and optimization frameworks
- Embed analytics into commercial processes
- Ensure solutions align with data governance and responsible AI
- Lead advanced analytics initiatives
- Maintain analytics toolkit
- Perform hands on LLM experimentation
- Translate analytics into executive decision frameworks
Perks/Benefits
Skills/Tech-stack
Airflow | Bayesian regression | Cloud Build | Cloud Run | Containerization | Data Visualization | Feature Engineering | Flask | Forecasting | Generative AI | GitHub | Google Cloud | Gradient boosting | Hierarchical Clustering | K-Means | K-means Clustering | Kubernetes | Language Models | Large Language Models | Lasso Regression | Linear Regression | Logistic Regression | MLOps | Machine Learning | Model Deployment | Optimization | Plotly | Predictive Analytics | PyDash | Python | Random Forest | Ridge regression | SQL | Simulation | Snowflake | Statistical modeling | Support Vector Machine
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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