Apply statistical, time series forecasting and machine learning models on large datasets to predict future performance of users or products
Job Summary
Apply statistical, time series forecasting and machine learning models on large datasets to predict future performance of users or products.
Design, implement and launch data science solutions using Python and R to empower data-driven decisions and products at scale.
This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary.
Matching Summary
Apply statistical, time series forecasting and machine learning models on large datasets to predict future performance of users or products.
Salary
Base: $192,000 - $288,000/yr; Bonus/Equity: equity, company bonus or sales commissions/bonuses; Benefits: 401(k) plan; medical, dental, and vision benefits; and wellness stipends
Skills & Requirements
Must-have
Statistical and machine learning models
Time series forecasting
Python and R
Data-driven decisions
Experiment design and analysis
Nice-to-have
Increase the GDP of the internet
Ambitious startups
Global economy within everyone's reach
Key Requirements
Master's degree or foreign equivalent in Computer Science, Business Analytics, Statistics, or related quantitative field
3 years of experience in Data Scientist or related occupation
3 years of experience building ETL data transformation pipelines in SQL
2 years of experience productionalizing machine learning models
2 years of experience designing, analyzing, and interpreting experiment results