Senior Data Scientist - Product

1 нед. назад

150k–250k USD / yearUSASenior

machine learningexperimentationdata analysiscausal inference

Senior Data Scientist role focused on driving high-impact work across product, growth, incentives using experimentation, measurement, and applied ML.

Требования

Product-minded: You connect analysis and modeling work to user outcomes and shipped product decisions.
Strong causal thinking: You can distinguish correlation from causation and choose appropriate experimental or observational methods.
Analytical excellence: You are fluent in SQL and can do rigorous analysis in Python (or similar).
Modeling & ML: You can build, evaluate, and iterate on models used in production, and you know how to set up monitoring.
Communication: You write and present clearly, and you can align cross-functional partners on definitions and decisions.
High ownership: You can independently take ambiguous problems from 0 → 1.
4+ years of experience in data science, applied ML, analytics, or a closely related role.
Strong experience with experimentation and/or causal inference in product settings.
Strong experience with SQL and a general-purpose language (Python preferred).
Experience partnering with engineering teams to ship models, metrics, or data products.
Degree in data science, computer science, statistics, math, or another related field.

Будет плюсом

Experience with data integration and pipeline development.
Experience in marketplaces, growth, incentives, or pricing.
Experience working with AI-assisted or agentic workflows.

Другое

We are looking for a Senior Data Scientist to drive high-impact work across Growth, Core Product Flows, Incentives, and more. This is a high-ownership role. You will work end-to-end from problem framing to deployment and measurement, and you will help establish the foundations for how does experimentation, measurement, and applied ML.
sits at the intersection of a high-velocity marketplace and AI-native workflows. Your work will shape how we grow, how our core product performs, and how incentives drive behavior across recruiters and customers. If you want to build systems that improve outcomes at scale while working at the intersection of data, product, AI, and business, this is the job.
The current product roadmap focuses on:
Growth: Define and measure the funnel, run experiments, and build models to improve acquisition, activation, retention, and revenue.
Core product flows: Improve match quality and workflow speed across sourcing, outreach, CRM, and placements through metrics, analysis, and ML.
Incentives: Design and evaluate pricing and payout incentives, forecast impact, and build guardrails against gaming and adverse outcomes.
SQL, Python
is a marketplace modernizing one of the largest and most fragmented markets in the world: hiring. We partner with industry leaders like Decagon, Palantir, Rippling, Abridge, and Hightouch to hire world-class talent, and are growing quickly - 8×-ing revenue last year.
is the first end-to-end AI recruiting marketplace that connects companies with thousands of specialized recruiters and AI agents that work together to fill roles faster and more accurately.
Our mission is to make hiring fast, reliable, and scalable for every company in the world.
At , we believe recruiting works best when the right people are working on the right problems, combining human judgment with AI that truly understands hiring. That’s why we’re building a new foundation for how companies hire, bringing together specialized recruiters and modern AI tools.
We treat recruiters like entrepreneurs, not vendors – and we’re building the financial, operational, and technical infrastructure that powers their success.
We are backed by the best investors and technology leaders: Scale, Felicis, A*, BOND, Liquid 2, DST Global, the founders of YouTube, Instacart, Canva, and more.