Semi Senior Data Scientist
Tasks
- Build machine learning pipelines
- Consult on testing and data quality
- Create data engineering workflows for production
- Create data mining solutions
- Deploy machine learning models
- Develop predictive models for digital marketing
- Mine data for analytical projects
- Run experiments and validate results
- Visualize data and model insights
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Adobe Analytics | Airflow | Apache Beam | BigQuery | Churn analysis | Cloud Composer | Cloud Functions | Clustering | Data Mining | Descriptive Analytics | ETL | Experiment design | GCP | Google Analytics | Infrastructure as Code | Looker | MLOps | Machine Learning | Microsoft Azure | Power BI | Predictive Analytics | Propensity Modeling | PubSub | Python | Recommender Systems | SQL | Scikit-learn | Snowflake | Statistical modeling | Statistical significance | StatsModels | Tableau | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
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