Senior Data Scientist

Houzz

. Lead data science initiatives across the Document, Accounting, Takeoffs, and Pro Commerce tracks .

Posted 10/15/2026full-timeRemote • IsraelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data science initiatives, including A/B testing, causal inference, and machine learning applications, while effectively communicating insights to senior leadership. Proficient in SQL and Python, with a strong foundation in statistics and experience in SaaS analytics.

Highest-signal resume keywords

SQL ProficiencyPython ProficiencyA/B Test DesignMachine Learning ApplicationsData Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatisticsCausal InferenceA/B TestingSQLPythonData VisualizationExploratory AnalysisData Pipeline ImprovementLLM Experience

Soft Skills

Communication SkillsPresentation SkillsInterpersonal SkillsTime ManagementProject Management

Tools & Technologies

TableauAI ToolsQuickBooks

Industry Keywords

SaaSDocument ManagementAccounting WorkflowsHome ConstructionRemodelingTrade Business Operations

Tech Stack

Tools & technologies

ERPPythonSQLTableau

About the role

Key responsibilities & impact

Lead data science initiatives across the Document, Accounting, Takeoffs, and Pro Commerce tracks
Partner with Houzz Pro product managers to define key metrics, measure feature usage, derive insights, and shape product strategies and roadmaps
Lead complex data science initiatives, including sophisticated analyses, A/B tests, causal inference, and machine learning applications
Drive adoption of recommendations across teams to improve document, accounting, and related product experiences
Analyze large, complex datasets and translate findings into narratives and stakeholder dashboards
Collaborate with data engineering to improve data pipelines, instrumentation, and data quality
Use AI tools for exploratory analysis, code generation, recurring-report automation, and data science projects
Frame hypotheses, define success metrics, and lead solutions to ambiguous, open-ended problems
Communicate results across the organization, including to senior leaders
Provide technical guidance to junior team members and foster continuous learning

Requirements

What you’ll need

A B.A./B.S. degree in technical/quantitative disciplines or equivalent practical experience
5+ years experience with analytics, preferably with a SaaS business
Strong proficiency in SQL and Python
Solid foundation in statistics and experimentation, including A/B test design and causal inference
Ability to work independently, run projects, host stakeholder meetings, manage senior-leader expectations, and complete projects with minimal supervision
Strong communication, presentation and interpersonal skills at senior leadership levels
Practical experience working with LLMs, including calling model APIs, writing and iterating prompts, or fine-tuning models
Excellent time management and prioritization skills
Product mindset and curiosity about small businesses and home professionals
Experience using Tableau
Advanced degree in a technical field such as Statistics, Operations Research or Engineering is ideally desired
Baseline understanding of US business accounting workflows or ERP integrations such as QuickBooks is ideally desired
Familiarity with home construction, remodeling, or trade business operations is ideally desired
Familiarity with evaluating generative AI systems is ideally desired

Benefits

Comp & perks

Equal Employment Opportunity employer
Inclusive environment through projects and initiatives, such as employee resource groups
Disability accommodations for the interview process