Lead Data Scientist, Glassdoor

IndeedRemote,
$150,000 - $311,000

About The Position

As a Data Scientist III on Glassdoor’s Decision Science team, you will leverage your expertise in data science, statistics, and experimentation to take on complex product and business challenges for job seekers. You will partner closely with Product and Engineering teams to identify opportunities, shape product strategy, prioritize initiatives, and design analytical solutions that guide decisions and improve product outcomes. In this role, you will help establish critical data and measurement foundations, deliver insights and recommendations that influence product direction, and improve the reporting and analytics capabilities that support decision-making across Glassdoor.

Requirements

  • Requires a Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field and a minimum of 8 years of related experience; or a Master’s degree with a minimum of 6 years of experience; or a PhD with 3 years experience
  • Expertise in A/B testing and experimentation is required
  • Solid foundation in data science methods and technologies.
  • Able to influence technical direction and contribute to long-term planning.
  • Able to work effectively with other teams and mentor colleagues.
  • Focused on delivering high-quality, impactful solutions that contribute to business goals.
  • Excellent written and verbal communication in English, effective with technical and business audiences.

Responsibilities

  • Oversee the design and execution of advanced analyses, experiments, and machine learning models to address complex questions.
  • Translate data into actionable insights to guide product and business decisions.
  • Develop and maintain scalable, robust data pipelines and models for large-scale product data.
  • Collaborate with engineering and product teams to integrate data science solutions into product workflows.
  • Mentor and support other data scientists, promoting knowledge sharing and best practices.
  • Contribute to the development of tools, methodologies, and processes that improve the efficiency and impact of the data science team.
  • Communicate findings clearly through presentations, visualizations, and documentation for diverse audiences.

Benefits

  • quarterly bonuses
  • Restricted Stock Units (RSUs)
  • Paid Time Off policy
  • region-specific benefits
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