Data & Analytics; D&A) Developer

$40.00 - $50.00/hr.

We are seeking a curious, analytically sharp, and digitally passionate Data Scientist to join our HDPE Operations & Strategy team - a team where collaboration and participative leadership are not just words, but the way we work every day. This is your opportunity to create real impact from day one. As a core member of our HDPE team, you will be at the forefront of our engineering vision – where data intelligence and AI-powered tools redefine how we manage, predict, and operate across Company’s global business.

• Analyze quality data from multiple enterprise systems (SAP, Salesforce, Databricks, Power BI, labor systems, finance data) to identify patterns, gaps, and opportunities for data-driven improvements
• Work with Program Managers and/or Operations leaders to define which data assets are relevant for business use cases and specify how data from different systems should be accessed, interpreted, and used
• Transform structured/unstructured datasets (often 100k+ rows) into actionable insights
• Conduct data quality checks and identify/resolve data defects and abnormalities across enterprise platforms

• Develop and validate Machine Learning models that support demand forecasting, scenario modeling, and predictive use cases for short-term and long-term business goals
• Document analytical findings, model performance, and data definitions clearly to ensure transparency and reproducibility across the team
• Pipeline Collaboration & Development:
  Experience working with Data Engineers to ensure data requirements are correctly implemented; ability to build and maintain Python-based data pipelines for ETL, model training, and automated forecasting workflows
• Translate business technical data challenges into concrete data science and AI/ML problem statements, acting as the domain-aware bridge between Engineering/Operations and the Digital team
• Leverage Large Language Models (LLMs) and prompt engineering to build intelligent tools that augment human decision-making and automate workflows

• Design and execute scenario planning models to test business assumptions (demand forecasts, resource capacity, cost projections) and evaluate "what-if" outcomes for strategic decision-making
• Track project execution data across P6 (Primavera) and other project management systems, linking planning assumptions to actual execution performance
• Support variance analysis between planned assumptions (forecast hours, budgets, timelines) and actual project execution data to identify gaps, root causes, and trends
• Build automated tracking solutions that monitor assumption validity as projects progress through lifecycle stages (planning → design -> execution → closeout)
• Collaborate with Program Managers to refine planning assumptions based on execution learnings and historical pattern analysis
• Provide data pipeline and data to build executive dashboards that visualize assumption-to-execution alignment, highlighting projects at risk due to assumption breakdown

• Review and analyze existing dashboards, models, and data pipelines to understand design patterns, business requirements, and data flows
• Read and interpret SQL queries, business logic, and semantic models embedded in current reports and analytical systems
• Understand underlying data structures and prepared data sources to support maintenance and enhancement
• Identify opportunities to optimize or consolidate existing reporting and modeling assets
• Maintain consistency with established data standards and best practices

• Translate complex data findings and model…