Data Scientist

Quanta Services • Englewood, CO

8d

About The Position

PAR Electrical Contractors, LLC is seeking a highly motivated Data Scientist to independently design and execute complex predictive, optimization, and machine learning models. Reporting to the Director of AI & Machine Learning, this role builds data products to address operational, financial, and heavy industrial engineering challenges in large-scale utility contracting. The position requires up to 10% travel, mainly Monday through Friday. The anticipated annual salary is $145,000–$165,000, depending on experience and qualifications.

The Data Scientist will work with operational and financial data that may be incomplete, unlabeled, or inconsistently recorded, taking loosely defined business questions through analysis or model delivery. The role partners with project managers, operations teams, executives, and other departments to develop and validate solutions against real project outcomes, communicate findings and limitations, and align data science capabilities with operational strategies.

Requirements

• Master’s degree and 4–6 years of experience, or a bachelor’s degree and at least 6 years of relevant experience.
• Strong Python and SQL skills.
• Experience building predictive models that have run in production.
• Very high attention to detail.
• Excellent problem-solving skills.
• Ability to work independently and as part of a team.
• Legally authorized to work in the United States; the employer does not sponsor work visas.

Nice To Haves

• Databricks Certified Machine Learning Professional, Certified Analytics Professional (CAP), or AWS ML Specialty certification.
• Experience in construction, industrial operations, engineering, or another asset-heavy, project-based industry.
• Familiarity with project financial or job-costing systems such as EcoSys or JDE, or cloud data platforms such as Databricks.
• Experience as an early or first data science hire, building an analytics function rather than joining an established one.
• Background in geophysics, subsurface or terrain risk modeling, or geospatial analysis.

Responsibilities

• Design, build, and optimize cloud-based data pipelines and ETL processes for utility infrastructure analytics.
• Partner with project managers and operations teams to identify efficiency gaps and deliver data-driven solutions.
• Independently take loosely defined business questions through to completed analyses or models.
• Build and validate models using operational and financial data, including incomplete, unlabeled, or inconsistently recorded data.
• Validate models against real project outcomes over time, beyond backtesting on static datasets.
• Communicate results and limitations clearly to non-technical stakeholders in operations, finance, and leadership.
• Design and implement complex machine learning, industrial optimization, and forecasting models.
• Establish best practices for code quality, model validation, and deployment.
• Present findings and recommendations to executive stakeholders and align data science capabilities with operational strategies.
• Collaborate with multidisciplinary teams to document data pipelines and workflows.
• Create charts, dashboards, and reports that highlight trends, risks, and actionable operational insights.
• Break down complex, unstructured industrial and logistical problems into logical, data-driven components.
• Prioritize data requests and model iterations across active construction sites and project phases.
• Follow scientific and statistical protocols to ensure models are reliable, reproducible, and compliant with engineering standards.
• Work across departments, including field operations, corporate procurement, and design engineering.
• Ensure datasets are high-quality, clean, and mathematically sound.
• Perform other duties assigned by management.

Benefits

• 100% employer-paid medical, dental, and vision health care benefits for the employee and dependents.
• 100% employer-paid basic life insurance.
• 100% employer-paid disability benefits.
• 401(k) retirement plan with matching contribution.
• Paid time off, including sick and vacation time.
• Paid holidays.
• Tuition assistance.
• Wellness and mental health programs.
• Learning and development programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior