Senior Data Scientist
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 14d ago
The date the source published, not the day we noticed it (2026-10-01). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Israel
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $107.5k–189k/yr
Middle 50% of 11 listings that do state pay — Operations · Senior · EMEA · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Lever employer's own board first seen 1h ago · last seen just now
The listing
About the Role
What You’ll Do
Be the thought partner of the PMs leading the document, accounting, takeoffs and pro commerce tracks to define key metrics, measure and derive insights on how professionals use these features and drive conversations to shape growth oriented product strategies and optimize product roadmap
Lead complex data science initiatives, including sophisticated analyses, independently own the design, running, and analysis A/B tests and other causal inference methods, apply machine learning methods where appropriate and drive adoption of recommendations across teams so we can deliver the best end-to-end document journey, accounting experience, etc.
Dig into large, complex datasets to uncover what drives value for professionals, and translate your findings into clear narratives and dashboards for stakeholders at every level
Work with data engineering to improve data pipelines, instrumentation, and data quality so the team can move fast with confidence
Use AI tools to speed up your own work, from exploratory analysis and code generation to automating recurring reporting, as well as innovative DS projects to uncover new opportunities
Work effectively in areas of significant ambiguity, framing hypotheses, defining success metrics, and leading the implementation of solutions to complex, open-ended problems with minimum guidance, and effectively communicate results to the entire organization including senior leaders
Provide technical guidance to junior team members and foster a culture of continuous learning
At a Minimum, We’d Like You to Have
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
A solid foundation in statistics and experimentation, including A/B test design, causal inference, and knowing when a result is truly meaningful
An ability to work independently, run their own projects, host stakeholder meetings, manage expectations of senior leaders and do what is needed to complete the projects with minimal supervision
Strong communication, presentation and interpersonal skills at senior leadership levels
Practical experience working with LLMs, such as calling model APIs, writing and iterating on prompts, or fine-tuning models for specific tasks
Excellent time management and prioritization skills to operate with high autonomy
A product mindset and genuine curiosity about how small businesses and home professionals work
Experience using Tableau
Ideally, You'll Also Have
Advanced degree in a technical field such as Statistics, Operations Research or Engineering
Baseline understanding of US business accounting workflows or ERP integrations like QuickBooks; familiar with the home construction, remodeling, or trade business operations such as the concepts of estimating, invoicing, etc.
Familiarity with evaluating generative AI systems, including approaches for measuring output quality, detecting hallucinations, and using LLMs as evaluators