• You are a current BS, MS, or PhD candidate in Statistics, Mathematics, Computer Science, Data Science, Operation Research or a related field.
• Hands-on experience with standard statistical methods such as linear and logistic regression, SVM, confidence intervals, and significance testing, along with expertise in causal inference analysis.
• Expertise in writing custom SQL and experience with database design.
• Knowledge of a scripting language (R or python) to manipulate and analyze data and develop statistical models.
• Sound statistical inference skills, with the ability to communicate uncertainty appropriately to engineering and business stakeholders.
• Experience designing metrics and building mechanisms to fuel business insights.
• Experience on data visualization tools such as Looker.
• Excellent communication skills.
For this position, the reasonably expected pay range is between $11,500 and $14,000/month. Your actual base pay will depend on several factors, including your experience, qualifications, education, location, and skills.