# Senior Data Scientist II

**Company:** [Fetch](https://hotfix.jobs/companies/fetch)
**Location:** Remote
**Role:** Data Science
**Experience:** 8+ years
**Skills:** Python, SQL, Snowflake, dbt, Airflow, Spark, AWS, Bayesian Inference, Causal Inference, Experimental Design, Statistical Modeling, Machine Learning, Data Visualization, GDPR, CCPA
**Posted:** 2026-08-31

> Leads predictive and causal modeling, experimentation, and measurement initiatives that drive personalization, retention, monetization, and product strategy. Requires 8+ years of data science or applied analytics experience, strong statistical expertise, SQL and Python proficiency, and experience with large-scale data systems.

## Job Description

## Responsibilities

### Advanced Analytics & Modeling
- Design, build, and deploy predictive and causal models supporting personalization, retention, and monetization.
- Apply Bayesian inference, causal impact analysis, and hierarchical modeling to guide decisions.
- Develop and operationalize experimentation and measurement frameworks with accurate attribution and reproducibility.

### Business Impact & Experimentation
- Quantify the impact of business and product initiatives and translate model outputs into actionable insights.
- Design and analyze experiments involving user behavior, product features, and marketing initiatives.
- Establish metrics and analytical frameworks for growth and retention goals.

### Collaboration & Influence
- Partner with Product, Engineering, and Data Product teams to turn insights into scalable data products and intelligent systems.
- Communicate complex analyses through clear narratives and visualizations for executive decision-making.
- Mentor peers and strengthen scientific rigor, data culture, and analytical storytelling.

### Technical Excellence
- Use Python, SQL, Snowflake, dbt, Airflow, Spark, and AWS to build scalable data science solutions.
- Champion experimentation, model validation, reproducibility, and governance best practices.
- Advance AI/ML tools for automation, documentation, and anomaly detection with appropriate validation and responsible use.

## Requirements

- 8+ years of experience in data science, machine learning, or applied analytics in product-driven environments.
- Deep expertise in statistical modeling, experimental design, and causal inference.
- Strong SQL proficiency and proficiency in at least one programming language, preferably Python.
- Experience with large-scale data systems such as Snowflake, dbt, Airflow, or Spark.
- Ability to communicate technical insights to non-technical stakeholders and drive strategic decisions.
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.

## Nice-to-Haves

- Master’s or Ph.D. in a quantitative discipline.
- Experience deploying machine learning models to production and managing model lifecycle and performance.
- Consumer technology, advertising technology, or personalization systems experience.
- Experience building frameworks that improve experimentation velocity and decision quality.
- Familiarity with privacy-preserving data modeling and GDPR or CCPA compliance.
- Mentorship experience or leadership in scientific or analytical development.

## Compensation & Benefits

- Equity for full-time employees.
- Dollar-for-dollar 401(k) match up to 4%.
- Medical, dental, and vision plans, including pet coverage.
- Up to $10,000 per year in education reimbursement.
- Employee Resource Groups.
- Flexible paid time off, nine paid holidays, and a year-end week-long break.
- Paid parental leave and flexible return-to-work arrangements.
- One-time $2,000 Calvin Care Cash incentive for eligible employees welcoming new family members.
- Flexible remote work environment with provided hardware and software.

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