Overview
Skills
Job Details
Location: Lehi, UT (Hybrid - onsite 4 days a week in 84043)
Duration: Long-Term Contract/Contract-to-Hire
Work Requirements: , Holders or Authorized to Work in the US. W2/Direct-employment only.
Key Points:
- This position is onsite 4 days a week in Lehi, UT. Non-local candidates will not be considered unless they are willing to self-relocate within two weeks of an offer.
- This position is only open to candidates able to work on W2/direct-employment.
Overview:
Our client is redefining home energy intelligence through data and AI to enable personalized comfort, energy efficiency, and demand-response optimization across millions of connected homes. They are seeking a Staff Data Scientist to design and deploy predictive models that enable intelligent home energy decisions: from forecasting comfort and cost to optimizing EV charging and demand response events.
Responsibilities:
- Develop Predictive Models: Build and deploy advanced models for occupancy, runtime, cost forecasting, anomaly detection, and preconditioning to enable comfort-aware, energy-efficient control and maintenance.
- Optimize Energy Operations: Use data-driven insights to improve the reliability and precision of Demand Response (DR), Time-of-Use (TOU) shifting, and Virtual Power Plant (VPP) strategies.
- Advance Data Quality & Scalability: Partner with data engineering to transform legacy data structures into robust, documented, and reusable data products that support ML and real-time analytics.
- Cross-Functional Collaboration: Work closely with product, engineering, and analytics teams to embed intelligence into production systems and shape future data-driven energy experiences.
- Communicate Impact: Translate complex model outcomes into actionable insights for both technical and non-technical audiences.
Required Qualifications:
- Proven expertise in predictive modeling, forecasting, and applied ML (e.g., regression, gradient boosting, time-series, causal inference).
- Experience working with large-scale event and sensor data, preferably within energy, IoT, or device-driven ecosystems.
- Strong proficiency in Python (Pandas, NumPy, scikit-learn, PySpark) and experience with distributed compute environments (Spark, Databricks, Google Cloud Platform).
- Ability to take models from concept to production in collaboration with engineering partners.
- Skilled in statistical analysis, feature engineering, and experimental design (e.g., A/B testing).
- Excellent communication and storytelling skills for complex, data-driven topics.
Preferred Qualifications:
- Experience with energy forecasting, thermal modeling, or Demand Response optimization.
- Understanding energy markets, Distributed Energy Resources (DER), and Virtual Power Plant (VPP) concepts.
- Familiarity with LLM or generative AI applications in analytics and optimization.
- Advanced degree (MS/PhD) in a quantitative field such as Statistics, Computer Science, or Engineering.
- 5+ years of industry experience, including demonstrated technical leadership on high-impact modeling initiatives.
Our benefits package includes:
- Comprehensive medical benefits
- Competitive pay, 401(k)
- Retirement plan
- and much more!
About INSPYR Solutions:
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
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