Data Scientist - Mergers & Acquisitions
Tasks
- Collaborate with engineers and product managers
- Communicate model outputs to stakeholders
- Design and validate modeling approaches
- Detect and act on opportunities for business impact
- Drive machine learning lifecycle
- Formulate technical problems from business requirements
- Monitor model performance and concept drift
- Train validate and deploy scalable models
- Visualize data-driven insights
Perks/Benefits
- Dedicated training budget
- Flex location
- Group life insurance
- Multisport
- Private healthcare
- Recharge Fridays
- Take time for charity
- Take time program
- Vacation subsidy
Skills/Tech-stack
AWS | Amazon SageMaker | Classification | Cloud Computing | Clustering | Concept drift | Data Analysis | Data Drift | Exploratory Data Analysis | Feature Engineering | Feature Store | Forecasting | Generative AI | Kubeflow | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Matplotlib | Model Deployment | Model Monitoring | Model Training | Model Validation | NumPy | Pandas | Python | Regression | SQL | Scikit-learn | Seaborn
Education
Roles
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