Senior Data Scientist

Senior Data Scientist:

If you want a job where you actively shape how a data function operates — and directly define how your own role evolves as the company grows — this is it.

Xcede has started working with a fast-growing leader in their emerging category of continuous AI auditing and independent model oversight. This AI trust & governance company want a senior data scientist to set the technical benchmarks used to assess the performance, reliability, and risk of mission-critical AI systems.

This role brings together bias assessment, robust quantitative analysis, and practical insight into how real-world evaluation processes work. You’ll likely join with deep expertise in one area and build strength across the others over time, giving you the ability to influence how methodologies are designed, outcomes are interpreted, customer guidance is delivered, and product decisions align with a rapidly changing AI accountability environment.

You’ll collaborate closely with technical leadership and those responsible for shaping the platform, contributing across in-depth investigative work, evaluation design, and strategic decision-making. Your work will raise the quality bar for analytical practice, reinforce confidence in their approach, and help define what robust, defensible AI assessment looks like in real-world use.

Requirements:

• A solid academic foundation in a relevant field

• more than five years of senior professional experience

• Strong in Python

• At ease working both in detail and in areas that are not yet fully defined

• Strong communicator

• Works effectively with others while taking clear ownership of outcomes

• Able to interpret details within their broader operational and business context

• Driven by the opportunity to make a meaningful difference through their work

• demonstrated depth across at least 2 of the following areas:

-Hands-on work evaluating and mitigating systematic risk within deployed AI models, including assessment techniques that support transparent and defensible outcomes

- Experience working with people-focused data in decision-making contexts, including evaluating outcomes, assessing differential effects, and supporting evidence-based assessment approaches

- Proven experience applying robust quantitative methods in environments where analytical decisions carry significant risk, with a strong command of statistical reasoning and repeatable analysis practices

If you are interested in this or other Data Scientist positions, please contact Gilad Sabari @ |