Data Scientist

Rocket Companies, Inc.; United States; Teletrabalho; USD 97 000 - 207 000; Tempo integral

Resumo da oferta

Rocket Companies, Inc. is seeking a Data Scientist to perform exploratory data analysis, feature engineering and predictive modeling to deliver actionable insights for business leaders.

The role involves analyzing large data sets, building models from structured and unstructured data, and collaborating with engineering to deploy models. The ideal candidate has a Master’s degree in a related field and at least 3 years of experience with SQL, Python and ML techniques, in a data-driven business

Qualificações

• Master’s degree in mathematics, statistics, computer science or related field or equivalent experience.
• 3 years of experience working with large data sets in Hadoop, AWS, Azure or GCP.
• 3 years of experience with supervised models (regression, neural networks) and unsupervised techniques (clustering, PCA, SVMs).
• 3 years of experience with SQL.
• 3 years of experience in Python and at least one strongly typed language (C++, Java, etc.).
• 3 years of experience with statistical packages.
• 3 years of experience providing predictive and prescriptive analytics in a business setting.

Responsabilidades

• Analyze, manipulate and process large sets of data.
• Develop predictive/machine learning models from large sets of structured and unstructured data.
• Identify methods for continuous and automated statistical testing to enhance model predictability.
• Apply feature selection to models predicting outcomes of interest.
• Create graphs and visualizations to convey results to stakeholders.
• Deliver presentations of results to stakeholders.
• Collaborate with engineering and product teams to develop data platform support.

Conhecimentos

SQL

Python

C++/Java

Statistical modeling

Data visualization

Hadoop/AWS/Azure/GCP

Machine learning

Business analytics

Formação académica

Master’s degree in Mathematics/ Statistics/ Computer Science or related field

Ferramentas

SQL

Jupyter/Notebook

Descrição da oferta de emprego

As the Data Scientist, you’ll be responsible for performing exploratory data analysis, feature engineering and predictive modeling to provide actionable insights and strategic direction for business leaders. The Data Scientist delves into the recesses of large data sets of structured, semi-structured and unstructured data to discover hidden knowledge about our business and to develop methods to leverage that knowledge within our line of business.

About the role

• Analyze, manipulate and process large sets of data
• Develop predictive/machine learning models from large sets of structured and unstructured data
• Identify methods that allow continuous and automated statistical testing to enhance the predictability of deployed models
• Apply feature selection algorithms to models predicting outcomes of interest
• Apply sampling techniques to determine groups to be surveyed
• Compare models using statistical performance metrics, such as loss functions or proportion of explained variance
• Create graphs, charts or other visualizations to convey the results of data analysis
• Deliver oral or written presentations of the results of mathematical modeling and data analysis to stakeholders
• Identify business problems or leader objectives that can be addressed through data analysis
• Identify relationships and trends or any factors that could affect the results of research
• Identify and propose solutions to business problems using the results of data analysis
• Test, validate and reformulate models to ensure accurate prediction of outcomes of interest
• Write new functions or applications to conduct analyses
• Partner with machine learning engineers on the deployment of applicable models for business projects
• Communicate analyses, conclusions and solutions clearly to all audiences
• Sequence the steps involved to deliver a working model, estimate the timelines for the completion of work and communicate this information to the project manager
• Advise project teams on application improvements that will result in enhanced predictive and prescriptive models
• Develop and evangelize best practices for statistical or behavioral models
• Drive the collection of new data and the refinement of existing data sources
• Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing analyses
• Mentor and train associate data scientists

About you

• 3 years of experience working with large data sets in one or more of the following environments - Hadoop, AWS, Azure or GCP
• 3 years of experience with statistical and data mining tools and methods
• 3 years of experience with supervised models (e.g., regression, neural networks) and unsupervised techniques (clustering, PCA, SVMs)
• 3 years of experience working with SQL
• 3 years of experience in Python and at least one strongly typed language (e.g., C++, Java, etc.)
• 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

Whatyou’llget

Our team members fuel our strategy,innovationand growth, so we ensure the health and well-being of not just you, but your family, too! We goabove and beyondto give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put:We’vegot your back. Check out our full list of Benefits and Perks.

Aboutus

Rocket is a Detroit-based company made up of businesses that provide simple,fastand trusted digital solutions for complex transactions. The name comes from our flagship business, now known as Rocket Mortgage®, which was founded in 1985. Today,we’rea publicly traded company involved in many different industries, including mortgages, fintech, realestateand more.We’reinsistently different in how we look at the world and are committed to an inclusive workplace where every voice is heard.

This job description is an outline of the primary responsibilities of this position and may bemodifiedat the discretion of thecompany at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. Thecompany provides reasonableaccommodationsto qualified individuals with disabilitiesin accordance withapplicable state and federal laws. Applicantsrequiringreasonable accommodations in completing the application and/orparticipatingin the application process should contact a member of the Human Resources team, at [e-mail].

The compensation information below is provided in compliance with all applicable job posting disclosure requirements. The compensation for this position is $97,000.00-$207,000.00. The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid-time off. More informationregardingthese benefits and others can be found here. The informationregardingcompensation and other benefits included in this paragraph is the company’s current, good faithestimateat the time of posting. [Compensation and benefits are subject to modification from time to time as the Company, in its sole and exclusive discretion,deemsappropriate.] The Company maydetermineduring its future reviews of the proposed compensation and benefits provided for this position, that the compensation and benefits for suchpositionshould be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position. Los Angeles County and San Francisco Candidates only: qualified applicants with arrest or conviction records will be considered for employment per the Fair Chance Ordinance and the Fair Chance Initiative for Hiring.