Data Scientist II

IndeedRemote,
$125,000 - $259,000

About The Position

Indeed is the world’s largest marketplace for jobs, with a unique dataset spanning jobs, resumes, applications, and outcomes. As a Senior Data Scientist, you will apply your deep expertise in statistics, analytics, and machine learning to drive insights that shape the direction of our products and business. In this role, you will partner closely with product managers, engineers, and other business partners to identify opportunities, guide decision-making, and develop analytics solutions in the domain of job seeker journey. You will influence both tactical and strategic initiatives, mentor other data scientists, and elevate the overall impact of data science across the organization.

Requirements

  • Requires a Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field and a minimum of 5 years of related experience; or a Master’s degree with a minimum of 3 years of experience; or a PhD without experience
  • Loves thought-provoking assignments and is eager to learn.
  • 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.

Responsibilities

  • Oversee data-driven initiatives that uncover opportunities to improve product performance and business outcomes.
  • Design and execute advanced analyses, experiments, and machine learning models to address complex product and business questions.
  • Partner with product and engineering teams to define metrics, track performance, and inform both short- and long-term product strategies.
  • Mentor and guide other data scientists, fostering best practices in methodology, modeling, and analytical thinking.
  • Collaborate across teams to influence decisions with clear, compelling insights and visualizations tailored to diverse audiences.
  • Contribute to the development of tools, techniques, and processes that enhance the efficiency and impact of the data science team.
  • Serve as a recognized technical resource in the organization, helping solve high-impact problems and advising on analytic approaches.

Benefits

  • quarterly bonuses
  • Restricted Stock Units (RSUs)
  • Paid Time Off policy
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