Mid-Level Data Scientist
USD 114K-218K Mid-level Full Time
Tasks
- Assess business needs and propose analytical projects
- Compose technical documentation for model review
- Deploy production ready analytical assets with engineering and IT
- Develop and deploy models in model risk management framework
- Develop scalable automated machine learning simulation and optimization solutions
- Execute analytics and communicate outcomes to business partners
- Gather, interpret, and manipulate structured and unstructured data
- Maintain model stability and validate results for production
- Select modeling techniques based on data and business needs
- Translate business problems into machine learning solutions
Perks/Benefits
- 401k
- Adoption Assistance
- Career path planning
- Continuing education
- Life insurance
- Medical, dental, and vision insurance
- Paid Holidays
- Paid time off
- Parental benefits
- Pension
- Volunteer hours
- Wellness programs
Skills/Tech-stack
A/B | A/B Testing | B testing | DBSCAN | Data Preprocessing | Decision Trees | Deep learning | Descriptive Statistics | Diagnostic statistics | Embeddings | HQL | Hierarchical Clustering | Inferential Statistics | JSON | K-Means | Language Processing | Linear Regression | Logistic Regression | Machine Learning | Model Risk Management | Model risk | Natural Language | Natural Language Processing | NoSQL | NumPy | Pandas | PyTorch | Python | R | Random Forests | Risk Management | SQL | Scikit-learn | Support Vector Machines | TensorFlow | Text Classification | Topic Modeling | Transformers | Vector machines | XML
Education
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