Jobs · Engineering · Michigan

Data Scientist(AWS Redshift/Collibra/Dataiku/Agile)_ No Visa Sponsorship

Detroit Engineered Products · Sterling, MI · 3 wk ago
On-siteEngineeringFull-time

About the role

Work as part of a team designing, building, and maintaining our data infrastructure, ensuring accurate and timely data accessibility for teams and applications, often involving large datasets and complex systems.

Responsibilities

  • Design, build, and maintain 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, reports, and insights.
  • Ensure that data is stored securely, efficiently, and in a manner that is accessible for analysis and reporting.
  • Ensure the accuracy, consistency, and reliability of data by 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 business’s data architecture model, including identification of Authoritative Source Of Truth (ASOT) databases, connectors to replicate data from ASOTs to Midas and/or AWS Cloud Environments through data transformation within Power BI.
  • Develop data models and process flows, and liaise with multiple stakeholders—mainly engineering—to document and/or validate the current state or As-Is business process.
  • Develop requirements for the collection and use of data to inform the organization.

Requirements

  • Minimum 6 years of relevant experience.
  • Bachelor's Degree in Data Management, Data Science, Math, Statistics, or equivalent.
  • Proficiency with tools such as Power BI, Visual Basic, MS Excel, MATLAB/Simulink, Mathcad, MagicDraw, Midas, AWS/AWS Redshift, SSAS, Alation, Dataiku, Oracle, and 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.
  • Ability to work independently to research, analyze, and form solutions.
  • Ability to translate data into actionable information, resulting in data-driven actions/recommendations.
  • Proficiency in probability and statistics, applied mathematics, mathematical programming (linear, nonlinear, integer), network analysis, queuing theory, and economic evaluation.
  • 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.
  • Working knowledge of technical concepts, strategies, methodologies, architectures, and technical standards.
  • Self-starter with excellent attention to detail and strong organizational skills.

Preferred Qualifications

  • 10 or more years of relevant work experience.
  • Master’s Degree in mathematics, statistics, business, engineering, physical/applied sciences, or management discipline (business administration, accounting, finance, economics, or management information technology).
  • Experience with structured problem-solving techniques.
  • Knowledge of technical requirements and systems relevant to vehicles.
  • Experience working with development teams.
  • Knowledge of metrics related to Agile and use of them to report back to team members at all levels.
  • 1+ years of Scrum/Agile management.
  • In-depth knowledge of the Engineering function.

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