[Hiring] Data Scientist III @Indeed

Role Description

As a Data Scientist III at Indeed, you will leverage your expertise in data science, statistics, and machine learning to take on complex product and business challenges. You will design and implement analytical solutions that guide decisions, optimize product performance, and create measurable impact across the organization.

• Work closely with engineering and product teams to identify opportunities, evaluate initiatives, and develop models and analyses that inform data-driven strategies related to Cloud and AI spend optimization.
• Utilize ML and AI skills to harness and make sense of all the data.
• Communicate and collaborate with various teams involved.
• Contribute to building best practices in data science and mentor others in the team.
• Help elevate the technical capabilities and impact of those around you.

Qualifications

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field with 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.
• 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.

Requirements

• 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.
• Many region-specific benefits.