Data Scientist

Job not on LinkedIn

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🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

💵 $102.5k - $154k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Rocket Mortgage

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1985

💸 Finance

💳 Fintech

🏠 Real Estate

Finance • Fintech • Real Estate

Rocket Mortgage is a leading online mortgage lender that simplifies the home buying and refinancing process for consumers. It offers a variety of mortgage options, including fixed-rate, adjustable-rate, FHA, and VA loans, with tools and calculators to help clients understand their financial needs. With a focus on providing a smooth user experience and various promotional offers, Rocket Mortgage is dedicated to making homeownership more accessible and affordable.

📋 Description

• Perform exploratory data analysis, feature engineering and predictive modeling • Analyze, manipulate and process large sets of data • Develop predictive and machine learning models from structured and unstructured data • Identify methods for continuous and automated statistical testing to improve model predictability • Apply feature selection algorithms and sampling techniques • Compare models using statistical performance metrics • Create graphs, charts and visualizations to communicate analysis results • Present mathematical modeling and data analysis results to stakeholders • Identify business problems, objectives, relationships, trends and factors affecting research results • Propose solutions to business problems using data analysis • Test, validate and reformulate models for accurate outcome prediction • Write functions or applications to conduct analyses • Partner with machine learning engineers on model deployment • Sequence project steps, estimate timelines and communicate them to the project manager • Advise project teams on application improvements for predictive and prescriptive models • Develop and evangelize statistical and behavioral modeling best practices • Drive collection of new data and refinement of existing data sources • Collaborate with engineering and product teams to develop and support the internal data platform • Mentor and train associate data scientists • Communicate analyses, conclusions and solutions clearly to all audiences

🎯 Requirements

• 3 years of experience working with large data sets in Hadoop, AWS, Azure or GCP • 3 years of experience with statistical and data mining tools and methods • 3 years of experience with supervised models, including regression and neural networks, and unsupervised techniques, including clustering, PCA and SVMs • 3 years of experience working with SQL • 3 years of experience in Python and at least one strongly typed language, such as C++ or Java • 3 years of experience with statistical packages • 3 years of experience providing predictive and prescriptive analytics in a business setting • Master’s degree in mathematics, statistics, computer science or a related field or equivalent experience • Advanced understanding of data visualization libraries • Advanced understanding of statistical methodologies for modeling and business analytics

🏖️ Benefits

• Annual bonus • Incentives • Medical benefits • Dental benefits • Vision benefits • Retirement plan • Paid time off • Health and well-being support for team members and their families • Reasonable accommodations for qualified individuals with disabilities