Data Scientist

Data Scientist — PracHub

Location: Remote within the United States
Employment: Full-time
Base salary: USD 110,000–150,000 per year
Visa sponsorship: Available

Apply on the PracHub careers page:
Apply on PracHub

About PracHub

PracHub is a technology interview preparation platform with interview questions, practical guides, and tools for coding, SQL, system design, machine learning, and behavioral interviews. We help people turn interview preparation into focused practice. These roles contribute directly to the product, its content-discovery experience, and the systems that support it.

About the role

Help PracHub make better product decisions through reproducible analysis, sound experiments, and useful models. You will study how learners discover content and practice, evaluate changes to search and recommendations, and explain what the evidence does and does not support.

What you will do

• Translate product questions into measurable hypotheses, define metrics, and build reproducible analyses in SQL and Python.
• Analyze discovery, practice, and return-use behavior to identify where people find value and where the experience becomes difficult.
• Design experiments, check assignment and instrumentation, estimate uncertainty, and interpret results without confusing correlation with causation.
• Develop and evaluate baseline models for ranking, recommendations, or content relevance; compare them with simpler approaches before recommending added complexity.
• Investigate data quality, missingness, leakage, selection effects, and bias that could change the conclusion.
• Partner with engineers on reliable datasets and measurement, and communicate findings, limitations, and practical next steps to the team.

What we are looking for

• Practical ability to clean, explore, and analyze data using Python and SQL.
• A foundation in statistics, experimental design, and evaluating predictive or recommendation models.
• Experience completing an analysis, experiment, or modeling project and explaining the choices you made.
• Ability to distinguish a statistically interesting result from a useful product improvement.
• Clear communication, reproducible work, and care when handling user data. Relevant experience may come from employment, research, or substantial independent projects.

Helpful experience

Experience with search or recommendation evaluation, product analytics, experiment analysis, visualization, or learning products. Familiarity with responsible data access and monitoring data quality is useful.

What good work looks like

Strong work produces a trustworthy measurement, an evaluation that reveals an important limitation, or a recommendation the team can act on. A clear explanation of uncertainty is as valuable as a model score.

Get to know PracHub

You are welcome to explore our public product information and interview questions to understand the experience you would help improve. Practicing with PracHub or purchasing Premium is optional and does not affect your application.

How to apply

Submit your resume using the application form on our official careers page:
Apply on PracHub

You may include an existing analysis or modeling project and explain the question, evaluation approach, your contribution, and what you learned. Please remove confidential data. If you have already applied for this same role, there is no need to submit a duplicate application.