Jack & Jill/External ATS
Senior Data Scientist (+ Equity) at VC-backed AI product intelligence platform
Jack & Jill/External ATS, San Francisco, California, United States, 94199
This is a job that we are recruiting for on behalf of one of our customers.
To apply, speak to Jack. He's an AI agent that sends you unmissable jobs and then helps you ace the interview. He'll make sure you are considered for this role, and help you find others if you ask.
Senior Data Scientist
VC-backed AI product intelligence platform
Job Description Join a pioneering team building a simulation engine for adaptive software. As a Senior Data Scientist, you'll enhance foundational data science infrastructure, from pipelines to experimentation. Apply expertise in statistical modeling, ML, and data engineering to design and scale data-driven solutions, directly shaping how customers de-risk product bets and personalize experiences before launch.
Location San Francisco, USA
Why this role is remarkable
Join a team creating the simulation layer for software, reinventing product development by replacing traditional A/B testing.
Backed by top-tier VCs and product/engineering leaders from leading tech companies, ensuring world-class support and resources.
Blend behavioral modeling, cognitive science, and cutting-edge AI to solve real product challenges, shipping fast and seeing impact quickly.
What you will do
Build and optimize robust data pipelines (ETL/ELT) across SQL/NoSQL systems, ensuring reliability and quality of large-scale event/log data.
Collaborate with GenAI experts, behavioral scientists, and ML engineers to create synthetic personas and customer-ready reports and presentations.
Apply advanced statistical modeling, causal inference, and machine learning to analyze user behavior, design experiments, and generate actionable insights.
The ideal candidate
Strong proficiency in Python for data science and machine learning workflows, with hands-on experience in frameworks like PyTorch, TensorFlow, or Scikit-learn.
Expertise in large-scale unstructured data manipulation, specifically inferring user characteristics and traits from complex datasets.
Solid experience preparing comprehensive reports and slide decks for user segmentation and behavioral insights, coupled with a strong foundation in statistics, probability, and causal inference.
How to Apply To apply for this job speak to Jack, our AI recruiter.
Step 1. Visit our website Step 2. Click 'Speak with Jack'. Step 3. Login with your LinkedIn profile. Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions Step 5. If the hiring manager would like to meet you, Jack will make the introduction
#J-18808-Ljbffr
To apply, speak to Jack. He's an AI agent that sends you unmissable jobs and then helps you ace the interview. He'll make sure you are considered for this role, and help you find others if you ask.
Senior Data Scientist
VC-backed AI product intelligence platform
Job Description Join a pioneering team building a simulation engine for adaptive software. As a Senior Data Scientist, you'll enhance foundational data science infrastructure, from pipelines to experimentation. Apply expertise in statistical modeling, ML, and data engineering to design and scale data-driven solutions, directly shaping how customers de-risk product bets and personalize experiences before launch.
Location San Francisco, USA
Why this role is remarkable
Join a team creating the simulation layer for software, reinventing product development by replacing traditional A/B testing.
Backed by top-tier VCs and product/engineering leaders from leading tech companies, ensuring world-class support and resources.
Blend behavioral modeling, cognitive science, and cutting-edge AI to solve real product challenges, shipping fast and seeing impact quickly.
What you will do
Build and optimize robust data pipelines (ETL/ELT) across SQL/NoSQL systems, ensuring reliability and quality of large-scale event/log data.
Collaborate with GenAI experts, behavioral scientists, and ML engineers to create synthetic personas and customer-ready reports and presentations.
Apply advanced statistical modeling, causal inference, and machine learning to analyze user behavior, design experiments, and generate actionable insights.
The ideal candidate
Strong proficiency in Python for data science and machine learning workflows, with hands-on experience in frameworks like PyTorch, TensorFlow, or Scikit-learn.
Expertise in large-scale unstructured data manipulation, specifically inferring user characteristics and traits from complex datasets.
Solid experience preparing comprehensive reports and slide decks for user segmentation and behavioral insights, coupled with a strong foundation in statistics, probability, and causal inference.
How to Apply To apply for this job speak to Jack, our AI recruiter.
Step 1. Visit our website Step 2. Click 'Speak with Jack'. Step 3. Login with your LinkedIn profile. Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions Step 5. If the hiring manager would like to meet you, Jack will make the introduction
#J-18808-Ljbffr