Data Scientist, Decision Science

Summary

Join Glassdoor's Decision Science team as a Data Scientist and contribute to improving user experience and driving business growth. Collaborate with product teams to leverage data and machine learning to solve product challenges. You will analyze user experience, provide strategic recommendations, design data models and dashboards, and conduct A/B testing. This role requires 2+ years of data science experience, proficiency in SQL, Python or R, and experience with large datasets. Glassdoor offers a competitive salary, annual bonus, generous RSUs, comprehensive health and wellness benefits, paid time off, a 401k plan, and a flexible work environment.

Requirements

• A commitment to add to our culture of DEI
• 2+ years of data science/decision science/analytics experience, ideally in an Internet company with experience in web analytics platforms and tools
• Proficiency in SQL, Python or R required
• Experience working with large data sets, modeling, statistics (descriptive and inferential), and A/B & multivariate testing
• Excellent communication skills to effectively convey findings and recommendations to stakeholders
• Strong self-motivation and a proactive approach, with the ability to ask pertinent questions and follow up with stakeholders to obtain necessary information
• Highly organized thought process and a structured framework for problem-solving, ensuring alignment of projects with company strategies

Responsibilities

• Collaborate with product teams to understand and address product challenges using machine learning, statistical, and analytical expertise
• Leverage data to analyze and enhance user experience, converting insights into strategic recommendations
• Provide strategic and analytical support to the product and engineering partners, offering data-driven guidance to optimize various aspects of Glassdoor Web and App experiences
• Design and implement data models, tools, and dashboards to facilitate self-service data access and insights
• Conduct A/B testing to consistently improve user engagement and evaluate new product features

Preferred Qualifications

Familiarity with large language models (LLMs) and their applications in data analysis and business insights

Benefits

• Base Salary Range*: $96,400 - $128,000
• Annual Bonus Target**: 10%
• Generous Restricted Stock Units (RSU)
• Health and Wellness: 100% employer-paid premiums for employee medical, dental, vision, life, short and long-term disability, select well-being programs, along with 80% employer-paid premiums for all dependents
• Generous paid time off programs for birthing and non-birthing parents are provided, along with paid injury/illness leave and paid family emergency leave
• Work/Life Balance: Open Paid Time Off policy, in addition to 15-20 paid company holidays/year
• Investing in Your Future: 401(k) plan with a company match up to $5,000 per year, subsidized fertility and family planning services, and discounted legal assistance services
• Flexible hours and a where-to-work policy
• Remote work