Quantix Search
Staff Data Scientist – Senior ML & AI Engineer at Quantix Search
We’re partnering with one of the fastest-growing AI companies in the world to hire a Staff Data Scientist. Backed by over $230M from top‑tier investors and already valued at over $1B, they’ve secured customers that include some of the most recognizable names in tech. Their AI platform powers millions of daily interactions and is quickly becoming the enterprise standard for conversational AI.
In this role, you’ll bring rigorous analytics and experimentation leadership that directly shapes product strategy and company performance.
Base pay range
$250,000.00/yr – $300,000.00/yr
Location: San Francisco, CA
Direct message the job poster from Quantix Search.
What you’ll do:
Drive deep-dive analyses on user behavior, product performance, and growth drivers
Design and interpret A/B tests to measure product impact at scale
Build scalable data models, pipelines, and dashboards for company-wide use
Partner with Product and Engineering to embed experimentation best practices
Evaluate ML models, ensuring business relevance, performance, and trade‑off clarity
What we’re looking for:
5+ years in data science or product analytics at scale (consumer or marketplace preferred)
Advanced SQL and Python skills, with strong foundations in statistics and experimental design
Proven record of designing, running, and analyzing large-scale experiments
Ability to analyze and reason about ML models (classification, recommendation, LLMs)
Strong communicator with a track record of influencing cross‑functional teams
#J-18808-Ljbffr
In this role, you’ll bring rigorous analytics and experimentation leadership that directly shapes product strategy and company performance.
Base pay range
$250,000.00/yr – $300,000.00/yr
Location: San Francisco, CA
Direct message the job poster from Quantix Search.
What you’ll do:
Drive deep-dive analyses on user behavior, product performance, and growth drivers
Design and interpret A/B tests to measure product impact at scale
Build scalable data models, pipelines, and dashboards for company-wide use
Partner with Product and Engineering to embed experimentation best practices
Evaluate ML models, ensuring business relevance, performance, and trade‑off clarity
What we’re looking for:
5+ years in data science or product analytics at scale (consumer or marketplace preferred)
Advanced SQL and Python skills, with strong foundations in statistics and experimental design
Proven record of designing, running, and analyzing large-scale experiments
Ability to analyze and reason about ML models (classification, recommendation, LLMs)
Strong communicator with a track record of influencing cross‑functional teams
#J-18808-Ljbffr