Senior Data Scientist
Tasks
- Build predictive models
- Conduct statistical analysis
- Create metrics reports and presentations
- Design experiments
- Develop technical solutions
- Evaluate machine learning models
- Guide junior personnel
- Improve team efficiency
- Lead data engineering efforts
- Manage data pipelines
- Perform data wrangling
- Perform root cause analysis
Perks/Benefits
- 401k matching
- Company-sponsored events
- Flexible work environment
- Fully paid medical
- Life and disability insurance
- Opportunities for career growth
- Paid time off
- Paid training
- Referral bonuses
- Tuition reimbursement
- Work-life balance
Skills/Tech-stack
A/B | A/B Testing | AWS | Agile | Automation | Azure | B testing | Bayesian | Big Data | CI/CD | Clustering | Data Pipelines | Data Wrangling | Data integration | Data verification | Databases | DevSecOps | Dimensionality Reduction | EC2 | ETL | F1-score | Feature Engineering | GitLab CI | GitLab CI/CD | Google Cloud | Hadoop | Hypothesis Testing | Kubernetes | Lambda | Linear Regression | Logistic Regression | Machine Learning | Matplotlib | Model Evaluation | Nexus | NumPy | Pandas | Power BI | Precisión | Probability | Python | ROC-AUC | Recall | Regression | S3 | SQL | SonarQube | Spark | Statistical Analysis | Supervised Learning | Tableau | Unsupervised Learning
Education
Roles
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