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Associate Data Science Analyst Jobs in Michigan (NOW HIRING)

Geologics

Data Scientist

Sterling Heights, MI · Hybrid

$52 - $62/hr

Bachelor's in Data Management, Data Science, Math, Statistics Rate: $52 to $62 per hour (W2 ... Collaborate with data scientists, analysts, and other stakeholders to understand data requirements ...

OneMagnify

Lead Data Scientist

Detroit, MI · On-site

You'll be joining our RXA Data Science team, a group dedicated to leveraging advanced analytics, predictive modeling, and machine learning to drive smarter marketing and business decisions. As Lead ...

Conclusive Marketing

Lead Data Scientist

Detroit, MI · On-site

You'll be joining our RXA Data Science team, a group dedicated to leveraging advanced analytics, predictive modeling, and machine learning to drive smarter marketing and business decisions. As Lead ...

TD Bank Group

Principal Data Scientist (US)

Southfield, MI · On-site +1

$148K - $223K/yr

Provides analytical thought leadership and stays current on developments in data mining and the application of data science * Provides thought leadership and/or broad industry knowledge across ...

Td

Principal Data Scientist (US)

Southfield, MI · On-site

$148K - $223K/yr

Provides analytical thought leadership and stays current on developments in data mining and the application of data science * Provides thought leadership and/or broad industry knowledge across ...

DLA Piper

Establishes best practices for data analysis and reporting. * Other duties as assigned. Skills and Competencies * A specialization in machine-learning, artificial intelligence, cognitive science or ...

New

Hello Innovation

Director of Data Science

Detroit, MI · On-site

About The Job Our Director of Data Science won't just analyze data; they'll breathe life into it, transforming intricate datasets into revolutionary insights that chart the course for our products.

Hello Innovation

Director of Data Science

Detroit, MI · On-site

About The Job Our Director of Data Science won't just analyze data; they'll breathe life into it, transforming intricate datasets into revolutionary insights that chart the course for our products.

ArtiFlex Manufacturing

Data Scientist

Grand Rapids, MI · On-site

You have 3+ years of experience in Data Science, Business Analytics, or a related field . * You have strong database management skills using SQL for querying, aggregating, and analyzing data. * You ...

Tech Tammina LLC

Data Scientists Modeling

Dearborn, MI · On-site

Translate complex business questions and challenges into well-defined data science problems and analytical tasks. * Develop, train, and evaluate statistical and machine learning models to address ...

Stellantis

Data Scientist

Auburn Hills, MI · On-site

... data science best practices, actionable recommendations and a high bar for model quality and reliability. Data scientists work closely with data engineers, analysts, and business teams to design ...

Socket.dev

Data Scientist

Plymouth, MI · On-site

$90 - $130/hr

Minimum of 3 years of experience in data analysis, data science, systems analysis, business intelligence, financial analytics, or a related role; experience applying ML/AI concepts in a business ...

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

Associate Data Science Analyst information

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 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 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 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 can I do with an associate data science analyst's degree in data science?

An associate data science analyst's degree prepares individuals for entry-level roles such as data analyst, data technician, or business intelligence assistant. These roles involve collecting, cleaning, and analyzing data using tools like Excel, SQL, and basic programming languages such as Python or R. The degree provides foundational skills for working in data-driven environments and can lead to further specialization or advancement in data science careers.

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

Geologics

Sterling Heights, MI • Hybrid

$52 - $62/hr

Contractor

PTO

Re-posted 12 days ago

Job description

 

GeoLogics is working with a top Aerospace and Defense client looking for a Data Scientist in Sterling Heights, MI - Hybrid.

Role: Data Scientist

Client: Top Aerospace and Defense company

Location: Sterling Heights, MI - Hybrid (Goal is to be 3 days on, 2 day remote) 

Schedule/Travel: 9/80 with 10% travel

Education: Bachelor's in Data Management, Data Science, Math, Statistics

Rate: $52 to $62 per hour (W2 contract non-benefitted, No PTO - ever hour worked is an hour paid)

Job Description

  • Responsible for designing, building, and maintaining the data infrastructure, including databases, data warehouses, and data pipelines. 
  • Collect data from various sources (databases, APIs, etc.) and implement efficient data pipelines to transform raw data into usable formats such as dashboards and associated reports and insights. 
  • Ensure that data is stored securely, efficiently, and in a manner that is accessible for analysis and reporting. 
  • Ensuring the accuracy, consistency, and reliability of data, implementing data validation and quality control processes. 
  • Optimize data pipelines for speed, scalability, and performance, ensuring that data is available when and where it's needed. 
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure that data infrastructure meets their needs. 
  • Troubleshoot issues with data infrastructure, monitor system performance, and perform regular maintenance to ensure smooth operation. 
  • Support configuration control, documentation and change impact analysis on the businesses data architecture model including identification of Authoritative Source of Truth (ASOT) databases, connectors to replicate data from ASOTS to Midas and/or AWSCloud Environments through data transformation within Power BI.

Skills Required

  • Excellent oral and written communications. 
  • Proven ability to work within teams in which your contributions are critical to success. 
  • Exceptional analytic skills with some knowledge of probability and statistics and mathematical programming. 
  • Proficiency with tools such as Power BI, Visual Basic, MS Excel, MATLAB/Simulink, Mathcad, MagicDraw, Midas, AWS/AWS Redshift, SSAS, Alation, Dataiku, Oracle, SQL.
  • Familiarity with Atlassian Jira or ServiceNow. 
  • Proficiency with server usage and troubleshooting. 
  • Ability to prioritize and self-manage a multi-tasked workload in a fast-paced environment.
  • Must be able to work independently to research, analyze, and form solutions. 
  • Must be able to translate data into information; resulting in data-driven actions/recommendations.
  • Proficiency in areas such as probability and statistics, applied mathematics, Mathematical programming (linear, nonlinear, integer), Network analysis, Queuing theory, and Economic evaluation. 
  • Be directly involved in developing data models and process flows as well as liaising with multiple stakeholders - mainly engineering, to document and/or validate the current state or As-Is business process. 
  • Must have ability to work in a cross-functional team environment Ability to develop solutions to complex problems. 
  • Ability to make decisions with sound judgment while complying with policies and procedures.
  • Experience developing requirements for collection of and follow on use of data to inform the organization. 
  • Working knowledge of technical concepts, strategies, methodologies, architectures, and technical standards. 
  • Self-starter with excellent attention to detail and able to stay organized.

Must Have Knowledge:

  • AWS Medallion architecture including AWS Redshift
  • Data Cataloguing tools like Collibra
  • Data Transformation tools like Dataiku
  • Dashboarding tools like PowerBI or Tableu
  • Collecting Data from various sources
  • Troubleshoot issues with data infrastructure, monitor systems
 
Andrew Gephart

(703) 891-6133
agephart@geologics.com

*Rates listed are not a guarantee of salary/rate.  Rate offered at time of hire will depend on many factors including education, experience, interview results and skill level

GeoLogics is an Equal Opportunity/Affirmative Action Employer that is committed to hiring a diverse and talented workforce. EOE/Disability/Veteran



Education:DegreeEmployment Type: CONTRACTOR

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