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Royal Electric Company Verified
Construction, Electrical Services, Utilities

Data Scientist

Sacramento, California, United StatesOnsiteFull Time$70,000–$90,000 /yrPosted today

At Royal Electric Company we provide expert electrical design, construction, and service with builders, contractors and facility owners who value relationships, trust, expertise, and a commitment to each other towards achieving exceptional results.
We are able to sustain this through our linking values of
*expertise, collaboration, integrity, passion,*
and
*loyalty*
. These values support our core purpose; to build great relationships, one project at a time!
We have a current opening for a Data Scientist in our Sacramento, CA offices.
The Data Scientist will assist the Royal Electric team
Success in the position is achieved through the following duties & responsibilities:

  • Develop dashboards and KPI reporting for project managers, operations leaders,

and executive leadership.

  • Support forecasting models related to project cost-to-complete, labor demand

planning, and cash flow projections.

  • Assist in analyzing ERP/MRP and project management system data to identify performance trends, risk indicators, and operational bottlenecks
  • Technology & Systems Integration
  • Support analytics initiatives tied to system implementations, upgrades, and digital transformation projects
  • Assist in defining enterprise data standards, KPIs, and cross-functional reporting metrics
  • Contribute to automation of recurring reports and manual workflows through scripting and data pipelines
  • Support development of predictive models to enhance cost forecasting, schedule adherence, procurement planning, and risk mitigation
  • Assist in creating early-warning indicators for project overruns or operational inefficiencies
  • Document methodologies and maintain reproducible, well-governed analytical processes
  • Data Governance & Quality Management
  • Collaborate with Technology teams to improve data quality, consistency, and reliability across enterprise systems
  • Support master data management initiatives across projects, vendors, materials, and labor categories
  • Assist in developing standardized enterprise reporting definitions aligned with Finance and Operations
  • Work directly with Construction Operations, Finance, HR, and corporate leadership to translate business needs into analytical solutions
  • Present findings in a clear, structured format suitable for both technical and non-technical audiences
  • Contribute to change management efforts associated with new reporting tools and system enhancements

Requirements

  • Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Information Systems, or related field
  • 1-3 years of experience in data analysis, analytics, or data science (internships included)
  • Proficiency in SQL and Python (or R)
  • Experience with Power BI or similar enterprise BI platforms
  • Foundational understanding of statistics, regression analysis, and predictive modeling
  • Strong analytical thinking with attention to detail and data accuracy

Preferred

  • Experience working with ERP, MRP, or construction/project management systems
  • Exposure to capital project delivery environments or construction operations.
  • Familiarity with cloud-based data platforms
  • Experience supporting financial forecasting, job costing, or project controls
  • Knowledge of data governance practices within enterprise IT environments

Salary Range:

  • $70,000/year - $90,000/year
  • This is exempt position

We offer competitive wages plus benefits and 401(k).
Royal is proud to be an equal opportunity workplace. Individuals seeking employment at Royal are considered without regards to age, ancestry, color, race, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, sexual orientation, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, religion, military or veteran status, or any other characteristic protected by federal, state, or local laws.
We utilize E-Verify to confirm work authorization with both the Social Security Administration and the Department of Homeland Security. E-Verify Link: http://www.uscis.gov/e-verify/employees
Equal Opportunity/Affirmative Action Employer: Veterans, women & minorities encouraged to apply.
Applicants must be authorized to work in the United States. Royal Electric is unable to sponsor or take over sponsorship of employment Visa at this time.
We promote a drug free workplace.
Benefits
*Health*

  • Health Care Plan (3 types of medical plans, Discounted Dental & Orthodontist services for adults & children, Premium Vision Plan)
  • Retirement Plan (Traditional 401k, Roth 401k).
  • $50k Life Insurance (Basic, Voluntary, & AD&D)
  • Paid Time Off (Vacation, Sick Leave, and 8 Paid Holidays)
  • Family Leave FMLA (Maternity & Paternity)
  • Short Term & Long-Term Disability
  • Pet Insurance
  • Flex Spending Accounts: Healthcare, Dependent care (Daycare children & elderly - work related), & Transit
  • Pharmacy discounts
  • Kisx Card (Surgery & Imaging Program)
  • Opportunity for tuition reimbursement

*Wellness Resources*

  • Free telehealth
  • Health Joy App
  • Free peer coach support - (mental health, stress management, substance use, and suicidal ideation)
  • CancerCARE 1:1 Consulting and support with expert medical team
  • Employee Assistance Support
  • Hearing Aid discount plan
  • Laser VisionCare discount plan

*Learning & Development*

  • Safety training: Getting Everyone Home Safely
  • Professional & Leadership Development Training
  • Skill Development Training
  • Mentorship Program
  • On-The-Job & Classroom Training

Employee Referral Program:
We value referrals from our employees! If you know someone who would be a great fit for this role, please refer them through our company's referral program. Successful referrals can earn you an incentive!

Ready to apply?
You'll be redirected to Royal Electric Company's application page.

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