Find & Apply For Data Scientist Jobs in Monterey, California

The Role The Data Scientist designs production machine learning, predictive, optimization, forecasting, ETL, and cloud data pipeline solutions for utility infrastructure operations. Responsibilities include analyzing complex operational and financial data, validating models against project outcomes, creating dashboards, communicating insights to stakeholders, establishing model governance, and supporting data-driven decisions across construction, procurement, finance, and engineering teams. Summary Generated by Built In About Us PAR Electrical Contractors, LLC is a premier outside electrical infrastructure construction company based in Kansas City, Missouri. A subsidiary of Quanta Services, Inc. (

NYSE:

PWR), PAR is one of the founding members of Quanta Services and among the largest union contractors in the U.S. PAR's employees are the reason for the success of our company. Our reputation attracts the highest quality personnel, people who are committed to producing projects that set a standard for excellence. At PAR, we take on the most challenging and complex projects we can find, and we hire people who thrive on hard work and demanding opportunities. About this Role PAR Electric is seeking a highly motivated Data Scientist to own the design and execution of complex predictive, optimization, and machine learning models. This role works independently, reporting to the Director of AI & Machine Learning, building data products that solve intricate operational, financial, and heavy industrial engineering challenges inherent to large-scale utility contracting.

•Up to 10% Travel required - mainly Monday through Friday

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Salary:

$145k - $165k annual based on experience What You'll Do Design, build, and optimize core cloud-based data pipelines and ETL processes tailored for utility infrastructure analytics. Partner with project managers and operations teams to identify efficiency gaps and deliver data-driven solutions. Work independently from a loosely defined business question through to a finished analysis or model, without an existing team or pipeline to lean on. Build and validate models on real operational and financial data, including data that is incomplete, unlabeled, or inconsistently recorded. Validate models against real project outcomes over time, beyond backtesting on a static dataset. Communicate results and their limits 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. Interface with executive stakeholders to present findings and recommendations, as well as align data science capabilities with operational strategies. Collaborate with multi-disciplinary teams to document data pipelines and workflows. Design intuitive charts, dashboards, and reports that clearly highlight trends, risks, and actionable operational insights. Break down complex, unstructured industrial and logistical problems into logical, data-driven components. Prioritize multiple data requests and model iterations across different active construction sites or project phases. Follow strict scientific and statistical protocols to ensure models are reliable, reproducible, and compliant with engineering standards. Work effectively across siloed departments, such as field operations, corporate procurement, and design engineering teams. Ensure high-quality, clean, and mathematically sound datasets. All other duties assigned by management What You'll Bring Qualifications & Requirements Master's degree + 4-6 years of experience, OR a Bachelor's degree + 6+ years of relevant experience required.

Preferred certifications:

Databricks Certified Machine Learning Professional, Certified Analytics Professional (CAP), or AWS ML Specialty. Strong Python and SQL skills, with experience building predictive models that ran in production. Very high attention to detail. Excellent problem-solving skills. Ability to work independently but as part of a team. Experience in construction, industrial operations, engineering, or another asset-heavy, project-based industry preferred. Familiarity with project financial or job-costing systems (EcoSys, JDE, or similar) or cloud data platforms such as Databricks preferred. Experience as an early or first data science hire, building an analytics function rather than joining an established one, preferred. Background in geophysics, subsurface or terrain risk modeling, or geospatial analysis preferred. What You'll Get PAR offers a comprehensive benefits package including: 100% employer-paid health care benefits (medical, dental, and vision) for you and your dependents 100% employer-paid basic life insurance 100% employer-paid disability benefits 401(k) retirement plan with matching contribution Paid Time Off (sick and vacation) Paid Holidays Tuition Assistance Wellness and Mental Health Programs Learning and Development Programs PAR Electrical Contractors, LLC does not sponsor applicants for work visas. All applicants must be legally authorized to work in the United States. PAR Electrical Contractors, LLC participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the

U.S. PAR

Electrical Contractors, LLC will only use E-Verify once you have accepted a job offer and completed the Form I-9. Compensation Range The anticipated compensation for this position is USD $145,000.00/Yr. - depending on experience and qualifications. Equal Opportunity Employer All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, national origin or ancestry, sex (including gender, pregnancy, sexual orientation, and/or gender identity), age, disability, genetic information, veteran status, and/or any other basis protected by applicable federal, state or local law.

We are an Equal Opportunity Employer, including disability and protected veteran status. We prohibit all types of discrimination and are committed to providing access and equal opportunity for individuals with disabilities. For additional information or if reasonable accommodation is needed to participate in the job application, interview, or hiring processes or to perform the essential functions of a position, please contact us the Company's Human Resources department. Read Full Description Skills Required Master's degree and 4-6 years of experience, or Bachelor's degree and 6+ years of relevant experience Strong Python and SQL skills Experience building predictive models that ran in production Very high attention to detail Excellent problem-solving skills Ability to work independently and as part of a team Databricks Certified Machine Learning Professional certification Certified Analytics Professional certification 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 Familiarity with cloud data platforms such as Databricks Experience as an early or first data science hire building an analytics function Background in geophysics, subsurface or terrain risk modeling, or geospatial analysis View all jobs at Ampacity View Ampacity Profile Report Job