Data Scientist

GeoLogics; Sterling Heights (MI); Hybrid; USD 71,635 - 85,411; Full time

Job summary

GeoLogics is seeking a Data Scientist in Sterling Heights, MI, for a hybrid role focused on designing and maintaining data infrastructure. Responsibilities include developing data pipelines and ensuring data accuracy while collaborating with various stakeholders.

Ideal candidates hold a Bachelor's in Data Science or related field and possess strong analytical skills and proficiency in tools like Power BI and SQL. A commitment to detail and teamwork is essential.

Qualifications

• Bachelor's in Data Management, Data Science, Math, or Statistics.
• Ability to work independently and in a team.
• Strong analytical skills and proficiency with data tools.

Responsibilities

• Design, build, and maintain data infrastructure.
• Collect data and implement data pipelines.
• Ensure data accuracy and quality control.
• Collaborate with stakeholders to meet data needs.
• Troubleshoot data infrastructure issues.

Skills

Excellent oral and written communications

Proficiency with Power BI

Exceptional analytic skills

Ability to prioritize and self-manage

Proficiency in probability and statistics

Experience developing data requirements

Self-starter with attention to detail

Education

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

Tools

Power BI

AWS/AWS Redshift

SQL

Visual Basic

MATLAB/Simulink

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

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