Data Scientist

Royal Electric•Sacramento, CA

11h•$70,000 - $90,000•Onsite

About The Position

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 developing dashboards and KPI reporting for project managers, operations leaders, and executive leadership. The role involves supporting forecasting models related to project cost-to-complete, labor demand planning, and cash flow projections, and assisting in analyzing ERP/MRP and project management system data to identify performance trends, risk indicators, and operational bottlenecks. The Data Scientist will also support analytics initiatives tied to system implementations, upgrades, and digital transformation projects, assist in defining enterprise data standards, KPIs, and cross-functional reporting metrics, and contribute to the automation of recurring reports and manual workflows through scripting and data pipelines. Further responsibilities include supporting the development of predictive models to enhance cost forecasting, schedule adherence, procurement planning, and risk mitigation, assisting in creating early-warning indicators for project overruns or operational inefficiencies, and documenting methodologies and maintaining reproducible, well-governed analytical processes. The role also entails collaborating with Technology teams to improve data quality, consistency, and reliability across enterprise systems, supporting master data management initiatives across projects, vendors, materials, and labor categories, and assisting in developing standardized enterprise reporting definitions aligned with Finance and Operations. The Data Scientist will 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, and 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.

Nice To Haves

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.

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.
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.
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.

Benefits

Competitive wages
401(k)
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
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!