Sr. Data Scientist I - User Growth

quickenloans; United States; Hybrid; USD 128,000 - 161,000; Full time

Benefits offered by this job

Medical, dental, vision

Retirement plan

Paid time off

Job summary

Quicken Loans is seeking a senior data scientist to turn open-ended business questions into analyses, experiments, and predictive models that drive growth across consumer digital experiences.

You will partner with product, engineering, and business leaders to shape decisions, improve acquisition, engagement, retention, and conversion, and implement measurement practices.

Qualifications

• 5+ years of data science experience with product or user data and measurable impact.
• 3+ years hands-on statistical modeling in Python or R.
• Strong experimentation and causal inference skills, including test design, power calculations, sequential testing, and quasi-experimental methods.
• Strong statistical modeling in regression, segmentation, and forecasting.
• Expert SQL skills with data analysis, visualization, and Excel capabilities.

Responsibilities

• Analyze user journeys and behavior to identify customer needs and opportunities to improve conversion and retention.
• Develop behavioral segments and user profiles to clarify differences across customer groups.
• Design and evaluate A/B tests, multivariate experiments, and market-level tests; define success measures and guardrails.
• Apply causal inference and incrementality methods to estimate impact of product, marketing, and business changes.
• Build statistical and forecasting models to anticipate user behavior and likely business outcomes.
• Communicate findings as clear recommendations and collaborate across functions to establish sound measurement practices.

Skills

Data science

Python/R

Experimentation

SQL

Statistics

Education

Bachelor's degree in statistics, mathematics, CS

Tools

Tableau

ETL

Job description

Role overview

Use behavioral and product data to help improve user acquisition, engagement, retention, and conversion across consumer-facing digital experiences. This senior individual contributor will turn open-ended business questions into analysis, experiments, and predictive models, then work with product, engineering, and business leaders to shape decisions and growth strategy.

Responsibilities

• Analyze user journeys and behavior to identify customer needs, engagement patterns, and opportunities to improve conversion and retention.
• Develop behavioral segments and user profiles that clarify differences across customer groups.
• Design and evaluate A/B tests, multivariate experiments, and market-level tests; define success measures and guardrails.
• Apply causal inference and incrementality methods to estimate the impact of product, marketing, and business changes.
• Build statistical and forecasting models to anticipate user behavior and likely business outcomes.
• Communicate findings as clear recommendations, collaborate across functions, and help establish sound measurement practices.

Requirements

• At least five years of data science experience using product or user data, with demonstrated impact on consumer products at scale.
• At least three years of hands‑on statistical modeling in Python or R.
• Strong experimentation and causal inference skills, including test design, power and sample size calculations, sequential testing, and quasi‑experimental methods.
• Strong statistical modeling skills in areas such as regression, segmentation, and forecasting.
• Expert SQL skills, with strong data analysis, visualization, and Excel capabilities.
• A bachelor’s degree in statistics, mathematics, computer science, or a related quantitative field; strong communication and cross‑functional collaboration skills.

Nice to have

• An advanced degree, Tableau experience, or experience with Python‑based data processing and ETL.
• Practical use of AI tools in analytics, with measurable gains in analytical speed, quality, or productivity.

Benefits and work setup

• Hybrid work with in-office days on Tuesdays and Wednesdays in Seattle or Detroit and remote work on other days. Remote-only candidates may be considered if they live outside the specified office areas.
• The posting lists a compensation range of $127,600–$161,100 and potential eligibility for incentives and benefits, including medical, dental, vision, retirement, and paid time off.