Related skills
forecasting data analysis etl r sqlπ Description
- Apply statistical and ML models on large data to predict future performance.
- Partner with Sales and Data Science to answer questions with data.
- Design, implement and launch data science solutions using Python and R.
- Create analyses that generate insights for business teams.
- Design, analyze, and interpret the results of experiments.
π― Requirements
- Master's degree in CS, Business Analytics, Statistics or related field, plus 3 years experience.
- 3 years building ETL data transformation pipelines in SQL.
- 3 years partnering with product/business teams to answer questions with data.
- 2 years deploying and productionalizing ML models.
- 2 years designing, analyzing, and interpreting experiments.
- 2 years designing, implementing, and launching data science/software solutions.
π Benefits
- Equity and company bonus or sales commissions/bonuses.
- 401(k) plan; medical, dental and vision benefits.
- Wellness stipends.
- 50% telecommuting permitted.
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