Data Scientist
Tasks
- Build matching models for buyers and content
- Collaborate with engineering and product management
- Create classification systems for predictive analytics
- Develop data marts for data science use cases
- Develop data processing and technical workflows
- Identify opportunities for predictive models to improve buyer experience
- Implement recommendation and content relevance engines
- Transform standardize integrate data sets
- Use supervised and unsupervised machine learning techniques
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Redshift | Anomaly Detection | Bayesian | Bokeh | Clickstream | Cloud Data | Cloud Data Warehouse | Clustering | Data Visualization | Data Warehouse | Ggplot2 | Git | Google Analytics | Google BigQuery | Google Search Console | Google search | Language Processing | Machine Learning | Matplotlib | NLP | NLTK | Natural Language | Natural Language Processing | Pandas | Plotly | Polars | Python | R | Regression | SQL | Scikit-learn | Search Console | Snowflake | Spacy | Tidyverse | Unix/Linux | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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