Quizlet
Helping students (and their teachers) practice and master whatever they are learning.
Education Technology and Consumer Learning
201 - 500
Senior Data Scientist, Analytics
September 12
🔄 Hybrid – San Francisco
Quizlet
Helping students (and their teachers) practice and master whatever they are learning.
Education Technology and Consumer Learning
201 - 500
Description
• Develop analytical frameworks and foundations to enable actions and next steps in the business • Develop A/B testing through the entire experimentation life cycle, including inception, creation, measurement, and recommendations • Drive maturity and excellence in the way Quizlet measures success of business • Own product data for multiple teams • Proactively and appropriately prioritizes work across multiple teams with strong communication on tradeoffs and deliverables for all relevant stakeholders • Pose and answer questions from own insights and research, playing a key role in setting product team’s objectives and key results (OKRs) • Drive clean data framework through table schema creation • Promote and continually coach product team to better A/B testing standards • Contribute to analytics team culture and process • Communicate results when appropriate and prepare additional information in anticipation of follow up questions • Conduct internal trainings on data use • Mentor interns • Position allows telecommuting from anywhere in the U.S.
Requirements
• Bachelor’s degree or U.S. equivalent in Math, Statistics, Computer Science, Computer Engineering, Management Engineering, or related field • 2 years of professional experience as Data Scientist, Data Analyst, or other occupation/position/job title involving data analytics • 2 years of professional experience performing data analysis through the entire experimentation lifecycle (including inception, creation, measurement, and recommendations) utilizing SQL, window functions, and sub-queries, to synthesize, visualize, and communicate ideas • 1 Year of professional experience performing AB testing and programming using database programming languages including SQL • 1 Year of professional experience developing BI and analytic dashboards • 1 Year of professional experience creating data pipelines using Airflow • 1 Year of professional experience defining operational metrics and working with teams in an agile format to integrate and validate product logging consistent with measuring behaviors related to those metrics for tracking and improving business performance • 1 Year of professional experience using Python and Python SciKit to manipulate data and generate advanced statistical analyses, including time-series regressions or ARIMA models, cluster analyses or boosted tree models, and classification models
Apply Now
