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Internship Data Science Analytics Jobs in Michigan

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 ...

A bachelor's degree from an accredited university in Materials Science and Engineering, Data Science, Computer Science, Mathematics, Statistics, Analytics, or related * 2+ years of professional data ...

Solving manufacturing, quality, and engineering problems using data analytics and science tools. * Identifying opportunities and deploying tools to drive continuous improvement through data analytics ...

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 ...

Solving manufacturing, quality, and engineering problems using data analytics and science tools. * Identifying opportunities and deploying tools to drive continuous improvement through data analytics ...

Build and lead high-performing teams of data scientists, analytics engineers, and AI product leaders. * Define data governance, model lifecycle management, and responsible AI standards to ensure ...

Data Architect Specialist

Dearborn, MI · On-site

$58.50 - $75.25/hr

The ideal candidate will bridge business, engineering, analytics, and data science teams to deliver scalable, high-quality data solutions aligned with organizational goals. Key Responsibilities:

Analyze large datasets and generate business insights. * Build NLP solutions and advanced analytics ... Bachelor's degree in Data Science, Computer Science, Machine Learning, Statistics, Mathematics ...

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.

Build and lead high-performing teams of data scientists, analytics engineers, and AI product leaders. * Define data governance, model lifecycle management, and responsible AI standards to ensure ...

... data science problems and analytical tasks. • Develop, train, and evaluate statistical and ... machine learning models to address specific business needs (e.g., prediction, classification ...

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Internship Data Science Analytics information

What is the difference between Internship Data Science Analytics vs Data Analyst Intern?

AspectInternship Data Science AnalyticsData Analyst Intern
Required CredentialsBasic knowledge of statistics, programming (Python/R), and data toolsSimilar skills, often with coursework in statistics or data analysis
Work EnvironmentHands-on projects, collaborative teams, tech-focused companiesData collection, cleaning, visualization tasks in various industries
Employer & Industry UsageTech firms, finance, healthcare, consultingRetail, marketing, finance, tech

Internship Data Science Analytics and Data Analyst Intern roles share similar skills and work environments, focusing on data handling and analysis. The main difference lies in scope: Data Science Analytics internships often involve more advanced statistical modeling and machine learning, while Data Analyst Intern roles emphasize data visualization and reporting. Both serve as entry points into data careers, with overlapping skills but different focus areas.

What are the most commonly searched types of Data Science Analytics jobs in Michigan? The most popular types of Data Science Analytics jobs in Michigan are:
What cities in Michigan are hiring for Internship Data Science Analytics jobs? Cities in Michigan with the most Internship Data Science Analytics job openings:
Data Scientist

Data Scientist

Geologics

Sterling Heights, MI • Hybrid

$52 - $62/hr

Contractor

PTO

Posted 5 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