Data Scientist

Rocket; Detroit (MI); On-site; USD 80,000 - 110,000; Full time

Job summary

Rocket in Detroit is seeking a Data Scientist to leverage large datasets for exploratory analysis and predictive modeling, informing business leaders with actionable insights. The role requires 3+ years of experience with data tools like Hadoop and SQL, proficiency in Python, and a Master’s degree in a relevant field. Responsibilities include analyzing data, developing models, and mentoring junior staff. This opportunity offers a chance to impact business strategy through data-driven insights.

Qualifications

• 3 years of experience with large data sets in Hadoop, AWS, Azure, or GCP.
• 3 years of experience with statistical and data mining tools.
• 3 years of experience with supervised and unsupervised models.
• 3 years of experience working with SQL.
• 3 years of experience in Python and a strongly typed language.
• 3 years of experience with statistical packages.
• 3 years providing predictive and prescriptive analytics.
• Master’s degree or equivalent experience.
• Advanced understanding of data visualization libraries.
• Advanced understanding of statistical methodologies.

Responsibilities

• Analyze and process large sets of data.
• Develop predictive/machine learning models.
• Identify methods for automated statistical testing.
• Create visualizations to convey data analysis results.
• Deliver presentations of analysis results to stakeholders.
• Identify business problems addressable through data analysis.
• Advise on application improvements for predictive models.
• Collaborate with engineering and product teams.

Skills

Experience with large data sets

Statistical and data mining tools

Supervised and unsupervised models

Proficient in SQL

Proficient in Python

Statistical packages

Predictive and prescriptive analytics

Data visualization libraries

Statistical methodologies

Education

Master’s degree in mathematics, statistics, computer science or related field

Tools

Hadoop

AWS

Azure

GCP

Job description

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

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 [e-mail].