Consultant, Data Science & Analytics
Tasks
- Analyze quantitative marketing data
- Build marketing mix models
- Build multi-touch attribution models
- Conduct experimentation studies
- Detect anomalies in data models
- Ensure quality control of analytics
- Forecast simulate and optimize marketing effectiveness
- Package insights into client reports
- Perform statistical econometric and machine learning modeling
- Validate model results
Perks/Benefits
- 401k employer match
- Adoption Assistance
- Career coaching
- Commuter benefits
- Disability benefits
- Employee resource groups
- Employee stock purchase plan
- Fertility planning coverage
- Flexible time off
- Health benefits
- Health spending accounts
- Legal benefits
- Long-term care insurance
- Mental health support
- Paid Holidays
- Paid parental leave
- Paid time off
- Tuition reimbursement
- Volunteer time off
Skills/Tech-stack
A/B | A/B Testing | AWS Glue | AWS Lambda | AWS Redshift | AWS S3 | Apache Spark | B testing | Bayesian statistics | Causal Inference | Clustering | Data Architecture | Data Modeling | Logistic Regression | Machine Learning | Marketing Mix | Marketing Mix Modeling | Mix Modeling | Multi-Touch Attribution | Multi-touch) | MySQL | NumPy | Pandas | Panel data | Panel data modeling | PostgreSQL | PySpark | PyTorch | Python | R | Ridge regression | SQL | Scikit-learn | Series modeling | Statistical modeling | TensorFlow | Time Series | Time Series Modeling
Education
Roles
Analyst | Consultant | Data Analyst | Data Science | Data Science Consultant
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