Data Scientist II

Summary

Rippling is a company that provides a unified platform for managing HR, IT, and Finance. They are seeking a Data Scientist to analyze data, influence decision-making, and collaborate with various teams to drive business strategy.

Responsibilities

• Use quantitative analysis and the presentation of data to share beyond the numbers and understand what drives our business
• Build full-cycle analysis using SQL, R, Python, or other scripting and statistical tools
• Produce recommendations and use statistical techniques and hypothesis testing to validate your findings
• Provide insights to help business leaders understand marketplace dynamics, user behaviors, and long-term trends
• Identify and measure levers to help move essential metrics and make recommendations
• Report against our goals by identifying essential metrics and building executive-facing dashboards to track progress
• Collaborate with data engineering to implement, document, validate, and monitor our evolving data infrastructure
• Work autonomously as an individual contributor as well as showcase horizontal leadership, driving initiatives to completion and proactively identifying opportunities that will move the needle in the long run

Skills

• Master's degree in Analytics, Data Science, Economics, Statistics or a related field and at least 2~3 years of work experience, or equivalent
• Strong interest in actively working with Customer Success and Support teams, as well as cross-functional collaboration with Product & Marketing
• Strong proficiency in SQL, R/Python, Tableau, Mode, or other Business Intelligence tools
• Ability to deliver actionable insights by synthesizing data into useful formats and conveying findings in a clear manner to influence decision-makers
• Ability to actively manage and influence senior stakeholders through strong business communication skills, both verbal and written
• Ruthless prioritization and time management
• Organized, attentive to detail, and intellectually curious
• Bonus points for experience with B2B SaaS companies, Salesforce CRM & Service Cloud, as well as executive-level exposure

Qualifications

Must Haves

• Master's degree in Analytics, Data Science, Economics, Statistics or a related field and at least 2~3 years of work experience, or equivalent
• Strong interest in actively working with Customer Success and Support teams, as well as cross-functional collaboration with Product & Marketing
• Strong proficiency in SQL, R/Python, Tableau, Mode, or other Business Intelligence tools
• Ability to deliver actionable insights by synthesizing data into useful formats and conveying findings in a clear manner to influence decision-makers
• Ability to actively manage and influence senior stakeholders through strong business communication skills, both verbal and written
• Ruthless prioritization and time management
• Organized, attentive to detail, and intellectually curious

Nice to Haves

• Bonus points for experience with B2B SaaS companies, Salesforce CRM & Service Cloud, as well as executive-level exposure