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# Data Scientist

- **Company:** ZOOMIES INC
- **Location:** Seattle, WA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $124,000.0 - $271,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Software as a Service, Code Review, Data Transformation, Python (Programming Language), Machine Learning, SQL Databases, Usage Analysis, Scripting, Snowflake, Reliability of Systems, Scikit Learn, Star Schema, Machine Learning Operations
- **Published:** August 14, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-scientist-seattle-wa--285ab228-4b83-4675-9c7a-c49f5b9a5e87

## About the Role

* 7+ years in product analytics or applied data science
 * Demonstrate deep proficiency in Python (including ML libraries) and SQL for data modeling, analysis, and production model development.
 * Show experience building, deploying, and monitoring machine learning models in production environments with real business impact.
 * Apply solid foundations in statistics, experimentation design, and causal inference to ambiguous business problems.
 * Exhibit experience working with product telemetry or event-stream data to model user behavior and lifecycle transitions.
 * Communicate complex technical findings clearly to non-technical stakeholders, including senior leadership.

Nice to have:

 * Operate MLOps platforms (such as MLflow, SageMaker, or Vertex AI) and data transformation tools (such as dbt or Snowflake), or demonstrate equivalent practical experience.
 * Bring experience with model serving frameworks, data quality tooling, or observability platforms in a SaaS environment.
 * Guide early-career team members through code review, pairing, and knowledge sharing to elevate collective team capability., Analysis Skills, Artificial Intelligence (AI), Call Centers, Code Reviews, Communication Skills, Cross-Functional, Customer Retention/Renewal, Customer/Consumer Behavior, Data Analysis, Data Modeling, Data Quality, Data Science, Identify Issues, Incident Response, Leadership, Machine Learning, Machine Tool, Problem Solving Skills, Product Documentation, Production Machining, Production Systems, Python Programming/Scripting Language, Revenue Growth, Risk, SQL (Structured Query Language), Sales, Snowflake Schema, Software as a Service (SaaS), Statistics, Systems Reliability, Telemetry, Transformation Tools, Webinar, Work From Home

## Description

* Building and deploying end-to-end machine learning models - from exploration through production - that score customer expansion likelihood and churn risk, directly informing revenue strategy.
 * Designing and maintaining automated pipelines for model retraining, monitoring, and incident response, ensuring prediction accuracy and system reliability at scale.
 * Partnering with engineering and product teams to define telemetry schemas and data contracts, ensuring high-quality inputs that support longitudinal user behavior modeling.
 * Conducting exploratory analyses and experiments to diagnose conversion changes, validate product hypotheses, and deliver actionable recommendations to senior leadership.
 * Communicating findings and model outcomes to cross-functional stakeholders, translating complex results into clear narratives that guide sales, product, and customer success decisions.


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