Data Scientist - Stantec : Job Details

Data Scientist

Stantec

Job Location : Baton Rouge,LA, USA

Posted on : 2025-02-20T13:11:49Z

Job Description :

We are strategizing, planning, and implementing projects that help clients achieve their organization's objectives. Join our award-winning program management team and bring transformational project solutions to life.

By managing capital programs and projects as if they were our own, our project management business, and technical experts work with clients to strategize, plan, and implement projects that help them achieve their organization's objectives. Our award-winning team has managed thousands of projects across all sectors — hospitals, airports, and entire university campuses; infrastructure like mass transit and water-treatment facilities; and energy and resource assignments, from mines to wind farms.

Your Opportunity

We have an exciting opportunity for a Data Scientist with extensive experience in program and construction management data analysis. You will collaborate with clients and cross-functional teams to develop solutions that leverage data to drive operational efficiency, sustainability, and strategic decision-making. The ideal candidate has hands-on experience in machine learning, data modeling, and advanced simulation tools, capable of working in a dynamic, multi-disciplinary environment.

Your Key Responsibilities

Data Collection and Analysis:

  • Collect and analyze large datasets to derive actionable insights.
  • Use statistical methods to interpret data and generate useful business reports.
  • Identify trends, patterns, and anomalies in data.
  • Extracting and loading data.
  • Knowledge of database design and theories.

Data Validation and Cleaning:

  • Ensure data accuracy and integrity through validation and cleaning processes.
  • Collaborate with the Controls team and other teams to resolve data-related issues.
  • Reporting:
    • Develop and maintain comprehensive and visually appealing reports and dashboards.
    • Communicate findings to non-technical stakeholders effectively.
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