Level

JobgetherPosted today

L3

Staff Data Scientist

Staff Data Scientist at Jobgether scores 65 out of 100 on AI centrality, which makes it a Level 3 role on this board.

Remote (US)seniorFull-time

AI in this role

Build and own a Product Intelligence function combining data engineering, product analytics, experimentation, and machine learning.

pythonsql
data-engineeringproduct-analyticsexperimentationmachine-learning

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Data Scientist based in United States.

This role will build and own the foundation of a growing Product Intelligence function within a fast-paced technology environment.
You will combine data engineering, product analytics, experimentation, and machine learning to improve how product decisions are made.
The position offers significant autonomy, with responsibility for defining questions, building the infrastructure to answer them, and turning insights into action.
You will partner closely with Product, Engineering, Customer Success, and leadership to understand customer behavior and product performance.
From instrumentation and self-serve dashboards to experimentation frameworks and predictive models, your work will shape strategic priorities and roadmap decisions.
You will also establish scalable processes, analytical standards, and workflows that help create a mature, data-driven organization.
This is a high-impact opportunity for a hands-on data leader who thrives on ambiguity and enjoys building from the ground up.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Data EngineeringProduct AnalyticsExperimentationMachine LearningPythonSql

Questions you could be asked

  1. Tell me about a project where data engineering was part of your work. What did you do?
  2. Tell me about a project where product analytics was part of your work. What did you do?
  3. Tell me about a project where experimentation was part of your work. What did you do?
  4. Tell me about a project where machine learning was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Engineering, Product Analytics, Experimentation, Machine Learning, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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