Data Scientist
Rocket · Detroit, MI
- On site
- Full-time
- $120,000 / year
- Detroit, MI
Job highlights
- Analyze large datasets and engineer features.
- Develop and deploy predictive machine learning models.
- Communicate insights through visualizations and presentations.
- Collaborate with engineering and product teams.
- Mentor associate data scientists.
About the role
Data Scientist
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
What You’ll Get
Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to 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’ve got your back. Check out our full list of Benefits and Perks.
About Us
Rocket is a Detroit-based company made up of businesses that provide simple, fast and 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’re a publicly traded company involved in many different industries, including mortgages, fintech, real estate and more. We’re insistently different in how we look at the world and are committed to an inclusive workplace where every voice is heard. Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals.
This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company 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. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at Careers@Rocket.com.
Key skills/competency
- Data Scientist
- Exploratory Data Analysis
- Feature Engineering
- Predictive Modeling
- Machine Learning
- Statistical Analysis
- Data Visualization
- Python
- SQL
- AWS/Azure/GCP
Skills & topics
- Data Scientist
- Data Analysis
- Machine Learning
- Predictive Modeling
- Python
- SQL
- Statistics
- Data Visualization
- Hadoop
- AWS
- Azure
- GCP
How to get hired
- Tailor your resume: Highlight your 3+ years of experience with large datasets, SQL, Python, and machine learning models.
- Showcase your skills: Emphasize your Master's degree or equivalent experience in a quantitative field.
- Quantify your impact: Provide examples of how your predictive analytics have driven business results.
- Prepare for technical interviews: Be ready to discuss your experience with Hadoop, AWS, Azure, GCP, and statistical packages.
- Demonstrate communication skills: Prepare to present your analysis and findings clearly to stakeholders.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key technical skills required for a Data Scientist at Rocket?
- For the Data Scientist role at Rocket, you'll need at least 3 years of experience with large datasets, SQL, Python, statistical and data mining tools, supervised and unsupervised machine learning techniques, and cloud platforms like Hadoop, AWS, Azure, or GCP. A Master's degree in a related quantitative field is also highly preferred.
- What kind of data analysis projects can I expect as a Data Scientist at Rocket?
- As a Data Scientist at Rocket, you'll perform exploratory data analysis, feature engineering, and develop predictive models. You'll identify trends, test hypotheses, create visualizations, and present findings to business leaders to drive strategic decisions. You'll also work on improving existing models and collaborating on data platform development.
- Does Rocket offer opportunities for career growth for Data Scientists?
- Yes, Rocket emphasizes career growth for its team members. The company is involved in diverse industries like mortgages and fintech, offering exposure to leading professionals and a chance to advance your career. There's also an opportunity to mentor associate data scientists, indicating a path for leadership.
- What is the work environment like at Rocket for a Data Scientist?
- Rocket fosters an inclusive workplace where every voice is heard. They are committed to the health and well-being of their employees and their families, offering comprehensive benefits and perks. The company culture is described as 'insistently different' and focused on providing simple, fast, and trusted digital solutions.
- How does Rocket approach the deployment of machine learning models developed by Data Scientists?
- Data Scientists at Rocket partner with machine learning engineers for the deployment of applicable models. This collaboration ensures that the models developed are effectively integrated into business projects and contribute to enhanced predictive and prescriptive capabilities within the company's internal data platform.
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