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Associate Data Science Analyst Jobs in Michigan (NOW HIRING)

Rocket Limited Partnership

Data Scientist

Detroit, MI · On-site

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 ...

Rock Connections

Data Scientist

Detroit, MI

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 ...

Cavallo Solutions

Data Scientist

Grand Rapids, MI · On-site

Profit Science: Analyze complex business problems in the distribution space and use mathematical ... Data Engineering & Navigation: Proficiency in SQL with proven experience extracting and ...

Cavallo Solutions

Data Scientist

Grand Rapids, MI · On-site

Profit Science: Analyze complex business problems in the distribution space and use mathematical ... Data Engineering & Navigation: Proficiency in SQL with proven experience extracting and ...

Faurecia

Data Science Intern

Auburn Hills, MI · On-site

Data analysis and excel skills are a plus * Majors in computer science, data analysis, or related firld * Graduation of 2027 or later * Minimum 2.8 GPA What we can do for you * At Forvia, you will ...

Faurecia

Data Science Intern

Auburn Hills, MI · On-site

Your profile and competencies to succeed Enrolled in a Bachelor's or Master's degree program Data analysis and excel skills are a plus Majors in computer science, data analysis, or related firld ...

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All JobsAssociate Data Science Analyst JobsAssociate Data Science Analyst Jobs in Michigan

Associate Data Science Analyst information

What is the difference between Associate Data Science Analyst vs Data Analyst?

AspectAssociate Data Science AnalystData Analyst
Required CredentialsBachelor's degree in data-related field; some roles prefer certifications in data analysis or programmingBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL are common
Work EnvironmentCollaborates with data scientists and engineers; involved in data modeling and analysis tasksFocuses on data collection, cleaning, and reporting; often works with business teams
Employer & Industry UsageUsed in tech, finance, healthcare industries; entry-level role in data teamsWidely used across industries for business insights and reporting

The Associate Data Science Analyst and Data Analyst roles share similarities in educational background and industry usage. However, the Associate Data Science Analyst typically involves more technical tasks like data modeling and working closely with data science teams, whereas Data Analysts focus more on data reporting and business insights. Both roles serve as entry points into data careers but differ in technical depth and collaboration scope.

What types of projects and datasets do Associate Data Science Analysts typically work with, and how do they contribute to larger team goals?

Associate Data Science Analysts often work on projects involving data cleaning, exploratory analysis, and basic model development using real-world datasets such as sales figures, customer behavior logs, or operational metrics. Their primary responsibility is to prepare, analyze, and visualize data to uncover insights that support business decisions. They collaborate closely with more senior data scientists, business analysts, and stakeholders to ensure that their analyses align with organizational objectives. This role provides valuable exposure to the end-to-end data science workflow and lays the foundation for advancement into more specialized or senior data science positions.

What are the key skills and qualifications needed to thrive as an Associate Data Science Analyst, and why are they important?

To thrive as an Associate Data Science Analyst, you need a solid grounding in statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and potentially foundational certifications in data analytics are commonly required. Strong problem-solving, critical thinking, and effective communication skills help analysts interpret data insights and convey findings to stakeholders. These competencies are crucial for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

What does an Associate Data Science Analyst do?

An Associate Data Science Analyst is an entry-level professional who assists in collecting, analyzing, and interpreting data to help organizations make data-driven decisions. They work closely with senior data scientists and analysts, using statistical tools and programming languages like Python or R to process data, create reports, and visualize results. Their responsibilities often include cleaning and organizing data sets, performing exploratory data analysis, and supporting the development of predictive models. This role is a great way to gain hands-on experience in data science while building foundational skills for more advanced positions.
What cities in Michigan are hiring for Associate Data Science Analyst jobs? Cities in Michigan with the most Associate Data Science Analyst job openings:
Associate Data Science Analyst jobs near you

Data Scientist

Rocket Limited Partnership

Detroit, MI • On-site

Full-time

Re-posted 4 hours ago

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

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.

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