21 Jan
Data Engineer
Vacancy expired!
- Identify, extract/scrape, verify suitable data from different
- Conduct exploratory data analysis (for example, statistical analysis/segmentation, anomaly detection, assumption testing)
- Conduct A/B test and report out A/B test data
- Present models or data results to different groups of stakeholders with data visualizations.
- Creates proofs of concept. Deploy models to production. Track model behavior and make adjustments to model parameters depending on scale and trending.
- Build learning systems to analyze continuous data flows and offline data.
- Train and scale algorithms to apply models to new data sets.
- Combine data features to determine search models.
- Work on eCommerce search related data science projects.
- Work on building relevance evaluation tools.
- BA/BS Degree required (MS preferred).
- Industry or research project experience in data science preferably in search or eCommerce.
- Strong computer science fundamentals with proven problem solving skills.
- Experience working with large data sets in big data environments
- Proficiency in Python/Spark, SQL, Java, Kubeflow, Jupyter, Google Cloud Platform, etc.
- Familiar with model assessment and validation
Vacancy expired!