Data Scientist

Geologics Corporation

Sterling Heights (MI)

Hybrid

USD 149,001,000 - 177,655,000

Full time

6 days ago
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Job summary

GeoLogics is seeking a Data Scientist for a hybrid role in Sterling Heights, MI. The position focuses on designing, building, and maintaining data infrastructure, pipelines, and dashboards to deliver actionable insights.

You will collaborate with engineering and analytics teams, ensure data quality, and optimize performance. A Bachelor's in a data-related field is required, with strong statistics and proficiency in Power BI, SQL, AWS Redshift, MATLAB, and Dataiku.

Qualifications

  • Bachelor's degree in data management, data science, math, or statistics.
  • Strong analytical and statistical background.
  • Experience with data pipelines, databases, and data governance tools is a plus.

Responsibilities

  • Design, build, and maintain data infrastructure including databases, data warehouses, and data pipelines.
  • Collect data from various sources and implement efficient pipelines transforming data into dashboards and reports.
  • Ensure data storage is secure, efficient, and accessible for analysis and reporting.
  • Ensure data accuracy, consistency, and quality control processes.
  • Optimize pipelines for speed, scalability, and performance.
  • Collaborate with data scientists, analysts, and stakeholders to meet data needs.
  • Troubleshoot data infrastructure issues and monitor system performance.
  • Support configuration control, documentation, and change impact analysis of data architectures.

Skills

Excellent communication
Team collaboration
Analytical skills
Independent research
Statistics knowledge
Mathematical programming
Problem solving
Cross-functional work
Data-driven decisions

Education

Bachelor's in Data Management/Data Science/Math/Statistics

Tools

Power BI
MS Excel
MATLAB/Simulink
Mathcad
MagicDraw
Midas
AWS Redshift
SSAS
Alation
Dataiku
Oracle
SQL
Visual Basic
Tableau

Job description

Engineering

Data Scientist Sterling Heights, MI Posted:5/13/2026 Job Description Job ID#: 16159 Job Category: Engineering Position Type: Contractor Shift: 9/80 work schedule

GeoLogics is working with a top Aerospace and Defense client looking for a Data Scientistin 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

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