Staff Data Scientist Analytics - Core Product

Quizlet

Quizlet, a leader in global learning platforms, seeks a Staff Data Scientist for their Core Product team. Quizlet is committed to facilitating learning for millions globally, combining cognitive science and machine learning. Their Data Science team drives product strategy through data analysis, supporting a broad range of learning endeavors for diverse users.

In this role you can expect to have the responsibilities:

• Drive business insights through data analysis.
• Develop analytical frameworks to guide business decisions.
• Collaborate deeply with product, engineering, design, and research teams.
• Oversee the experimentation strategy and manage A/B testing cycles.
• Present insights to influence the product roadmap using large-scale learning databases.
• Enhance the measurement of business success.

This role comes with the following benefits:

• Equal opportunity environment committed to diversity and inclusion.
• 20 vacation days and encouragement to utilize them.
• Comprehensive health, dental, and vision insurance.
• 401k plan with company match.
• Access to professional growth resources like LinkedIn Learning.
• Paid Family Leave and wellness benefits.
• 40 hours of paid volunteer time annually.

This role requires you to have:

• 5+ years in data science or 3+ years with advanced degrees.
• Experience conducting A/B tests and using statistical modeling.
• Experience in driving product strategy with data insights.
• Advanced SQL proficiency, including window functions and sub-queries.
• Strong communication skills for visualizing and conveying ideas.

You would benefit from having:

• Experience with dbt.
• ETL writing with Airflow.
• Python expertise for data analyses.
• Background in quantitative fields like Math, Physics, or Computer Science.

Quizlet fosters a transparent and inclusive workplace, emphasizes mutual respect, and encourages diverse applicants to contribute to their dynamic team. They celebrate diversity and apply a holistic interview approach, welcoming candidates from all backgrounds.