Data Scientist II

Whether you’re a recent grad or a seasoned professional, you can experience meaningful career growth at Rosendin. Enjoy a true sense of ownership as you work with a proven industry leader on some of the most exciting and high-profile projects in the nation. We offer a wide range of job opportunities, competitive compensation, full benefits, an Employee Stock Ownership Plan and more.

Why Rosendin?

Committed. Innovative. Engaged.

If you’re looking to take your career to the next level and work with some of the best and brightest in the industry, we want to hear from you. Since our founding over 100+ years ago, Rosendin has been driven to positively impact the communities where we live and work.

We are an organization built on integrity and we have a culture that empowers people, embraces diversity, and inspires everyone to do their best.  As one of the largest EMPLOYEE-OWNED electrical contractors in the United States, you will have the unique benefit of being a shareholder at a company that is experiencing tremendous growth and success. When our people succeed and fuel our success, we reward them. We'd love to have you as a shareholder!

YOUR NEXT OPPORTUNITY:

We are seeking a driven and analytical Data Scientist to join our Data Analytics Team. In this role, you will leverage advanced analytics, statistical modeling, machine learning, and data visualization to transform raw procurement, supply chain, and job-cost data into actionable strategic insights.  The successful candidate will work closely with procurement leaders, category managers, estimators, and field operations to optimize spend, mitigate market risk, forecast electrical commodity price volatility, and enhance supplier

performance across electrical construction projects nationwide.

WHAT YOU’LL DO:

• Build, maintain, and enhance enterprise spend intelligence models across electrical commodities (e.g., conduit/EMT, wire & cable, switchgear, solar/renewables, heavy equipment rentals).
• Develop and maintain statistical forecasting models to project monthly, quarterly, and annual procurement spend across major electrical material categories and equipment.
• Perform advanced spend classification, taxonomy alignment, and anomaly detection across ERP, invoicing, and purchase order datasets.
• Identify cost-saving opportunities, leakage, rebate capture, and volume aggregation points across regional organizational units.
• Develop predictive price models and index tracking algorithms for volatile electrical raw materials (e.g., copper, aluminum, steel, resins) to inform risk mitigation strategies and bid estimating.
• Analyze tariff impacts, market surcharges, and macroeconomic trends to project material lead times and cost exposure.
• Design and deploy automated supplier scorecards evaluating vendor performance on lead-time compliance, pricing variance, fill rates, and quality standards.
• Model supplier financial health, capacity constraints, and risk profiles to support strategic sourcing decisions and RFP evaluations.
• Analyze transactional procurement workflows (requisitions, PO conversions, invoice matching, catalog compliance) to identify operational bottlenecks and cycle-time reduction opportunities.
• Partner with IT and systems teams to design, test, and integrate machine learning algorithms into enterprise procurement tools (e.g., Oracle Fusion, automated requisition tools).
• Track and model inventory recirculations, regional warehouse pilot metrics, and excess material usage to minimize waste across field operations.
• Design, build, and maintain interactive dashboards and reports (Power BI / Tableau / OBTI) for Procurement leadership team, executive leadership and category managers.
• Build predictive TCO and asset depreciation models across owned and leased vehicles/heavy equipment to determine optimal economic replacement thresholds (e.g., mileage, engine hours, maintenance cost tipping points).
• Translate complex statistical findings into clear executive summaries, strategic recommendations, and actionable field guidance.
• Serve as the primary analytics subject matter expert within the Procurement organization, promoting data-driven decision-making across the enterprise.
• The duties and responsibilities are intended to describe the general nature and scope of work being performed by this position. This is not a complete listing and other duties will be assigned based on the position’s role within the business unit.

WHAT YOU BRING TO US:

• Education: Bachelor’s or master’s degree in data science, Business Analytics, Statistics, Industrial Engineering, Supply Chain Management, or a related quantitative field.  Preferably a master’s degree.  Minimum of 2 years in procurement or related field.
• Experience: 3–5+ years of experience in data science, advanced analytics, or business intelligence—preferably within construction, manufacturing, engineering, or heavy industrial supply chains.
• KNOWLEDGE, SKILLS & ABILITIES: Proficiency in Python or R for data manipulation, statistical modeling, and machine learning.  Proficient in using a computer and Microsoft Office (Outlook, Word, Excel, etc.); Oracle preferred.
• Advanced SQL skills for querying, joining, and structuring large enterprise datasets from relational databases and ERP platforms (e.g., Oracle, SAP).
• Expertise with Power BI , Tableau , or similar enterprise BI tools.
• Knowledgeable with time-series forecasting (ARIMA, Prophet, XGBoost), regression analysis, clustering, and NLP for spend categorizations.
• Proficiency in advanced Microsoft Excel (complex functions, data modeling) and data pipeline orchestration.
• Strong communication skills with the ability to convey technical analytical concepts to non-technical leaders and procurement teams.
• Curiosity, self-direction, and a problem-solving mindset suited for building processes from concept to execution.
• TRAVEL: 0% - 25%
• WORKING CONDITIONS: The Data Scientist II will work in a professional office environment, with the following conditions:
• Extended periods of sitting, standing, walking, typing, carrying, pushing, and bending may be required.
• Work is primarily conducted indoors, with varying environmental conditions such as fluorescent lighting and air conditioning.
• Noise levels are usually low to medium.
• Occasional lifting of up to 30 lbs. may be required.

Please note that this position is on-site and remote employment will not be considered.

YOU Matter – Our Benefits

ESOP – Employee Stock Ownership

401 K

• Annual bonus program based upon performance, profitability, and achievement
• 17 PTO days per year plus 10 paid holidays
• Medical, Dental, Vision Insurance
• Term Life, AD&D Insurance, and Voluntary Life Insurance
• Disability Income Protection Insurance
• Pre-tax Flexible Spending Plans (Health and Dependent Care)
• Charitable Giving Match with our Rosendin Foundation

Pay Range

$98,400.00-$129,100.00 Annual

The pay range for this role is what we expect to pay for candidates that meet the specified qualifications and requirements listed on this job description. Candidate’s pay can vary based on location, job-related experience, skills, and education.

Our success is rooted in our people. We all come together around long-term vision and a sense of shared ownership. As a group, we do whatever it takes to ensure the success of our business…and your career.