Data Scientist, Analytics
Tasks
- Access relational databases and extract data
- Apply analytical skills to product problems
- Apply machine learning for clustering and regression
- Collaborate with cross-functional teams
- Communicate data analysis results to influence strategy
- Design and analyze A B tests and statistical significance
- Develop hypotheses and test using analytical methods
- Develop reproducible python scripts and statistical analyses
- Guide teams using data and insights
- Influence product strategy with data insights
- Partner on prioritization and goal setting
- Process large-scale data using distributed systems
- Quantify opportunities and upcoming challenges
- Use data analysis to identify product challenges
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Clustering | Descriptive Statistics | Hadoop | Hive | Inferential Statistics | Machine Learning | MapReduce | Python | Regression | SQL | Statistical Analysis | Statistical significance
Education
N/A
Roles
Analytics | Analytics Engineer | Data Scientist | Engineer | Scientist
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