Senior Data Scientist

Quizlet

. Build trust in data and enable the Content Platform & Experience team to answer questions independently .

Posted 10/28/2026full-timeUnited StatesSenior💰 $161,011 - $211,326 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data science and product analytics, with a strong focus on advanced SQL, Python proficiency, and A/B testing methodologies. Capable of building and maintaining data quality and self-service capabilities for non-technical partners.

Highest-signal resume keywords

Advanced SQLProficiency In PythonA/B Testing Design And AnalysisData Modeling In dbtData Quality Ownership

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ScienceProduct AnalyticsStatisticsHypothesis TestingRegressionCausal InferenceData Contract TestsTraining Dataset CreationData Pipeline OptimizationBatch Pipelines

Soft Skills

Clear Written CommunicationClear Verbal Communication

Tools & Technologies

DbtBigQueryAirflowOmni Dashboards

Industry Keywords

Data EngineeringSearch RankingContent Health MetricsSearch Quality MetricsConversational Experiences

Tech Stack

Tools & technologies

AirflowBigQueryPythonSQL

About the role

Key responsibilities & impact

Build trust in data and enable the Content Platform & Experience team to answer questions independently
Ensure content, search, and Coach data reaches the data store correctly
Define metrics for content health, search quality, and conversational experiences
Make metrics available in Omni dashboards used by teams weekly
Design and analyze high-stakes A/B tests across search ranking, AI feature rollouts, and content features
Own dbt models and contract tests feeding search indexes
Build reproducible training and offline-evaluation datasets for search-ranking and recommendation models
Spend approximately 30% of time on data engineering efforts to optimize and improve the reliability of the search data pipeline
Partner with the Data Platform and product teams
Support data self-service for non-technical partners

Requirements

What you’ll need

4+ years in data science or product analytics
Degree in statistics, computer science, economics, math, or another quantitative field
Advanced SQL
Proficiency in Python
Hands-on experience designing and analyzing A/B tests
Solid statistics, including hypothesis testing, regression, and causal inference basics
Hands-on data modeling in a warehouse, such as dbt on BigQuery
Experience with data contract tests
Working knowledge of batch pipelines such as Airflow, including incremental loads, backfills, and deployment order
Experience owning data quality for a product area, including event instrumentation, tracking plans, and validation
Experience building training or evaluation datasets from product logs
Track record of enabling non-technical partners to self-serve data through training, documentation, or dashboards
Clear written and verbal communication
Legally authorized to work in the United States
Willingness to work from or relocate near the San Francisco or New York office and commute at least two days per week

Benefits

Comp & perks

Collaborate with your manager and team to create a healthy work-life balance
20 vacation days
Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice)
Employer-sponsored 401k plan with company match
Access to LinkedIn Learning and other resources to support professional growth
Paid Family Leave
FSA
HSA
Commuter benefits
Wellness benefits
40 hours of annual paid time off to participate in volunteer programs of choice