Job Description

Job Responsibilities:

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Skills:

• SQL.
• Python or R.
• Statistical Knowledge for Experimentation.
• Predictive Modeling / Machine Learning.
• XFN Collaboration.
• Proactive / Independent.

Education/Experience:

• Currently has or is in the process of obtaining a bachelor’s degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Client.
• Bachelor’s degree in mathematics, Statistics, a relevant technical field, or equivalent.
• 2+ years of work experience in analytics and data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R).
• 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights].

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