Hybrid Data Scientist: Pipelines & Insights

Geologics Corporation; Sterling Heights (MI); Hybrid; USD 149,001,000 - 177,655,000; Full time

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

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.