Data Scientist
Location: Lehi, UT
Job Type: Contract
Company: IDR
Category: Databases
Job Description Apply Now
Are you passionate about leveraging advanced analytics and artificial intelligence to drive innovation in the energy and Internet of Things (IoT) sectors? We are seeking a Data Scientist (DS) to join our dynamic team, focusing on developing and deploying predictive models that optimize home energy management systems. This full-time position offers a unique opportunity to work at the forefront of home energy intelligence, contributing to the advancement of connected home solutions that enhance comfort and operational efficiency.
As a Data Scientist, you will play an integral role in designing, building, and deploying sophisticated predictive models that enable smarter decision-making within connected homes. Your expertise will help improve demand response strategies, shift energy use based on time-of-use pricing, and support the implementation of virtual power plant technologies. Collaborating with cross-disciplinary teams, you will ensure that data-driven insights are seamlessly integrated into cutting-edge energy management products and services. If you thrive on turning complex datasets into actionable intelligence and want to work for an industry leader recognized for its innovation, this is the ideal role for you.
This position is based in Lehi, UT, a community known for its vibrant tech sector and proximity to natural attractions, offering a balanced lifestyle for professionals passionate about both technology and the outdoors. As a Data Scientist, you will have the opportunity to collaborate with talented professionals in product, engineering, analytics, and data engineering teams, all working together to reshape the future of energy management within the home environment.
Data Scientist - Summary- Contribute to the development of predictive models that impact real-world energy consumption and efficiency.
- Engage in hands-on data science work, moving models from concept through to production deployment.
- Collaborate with internal teams to transform legacy data into scalable, reusable data products.
- Utilize state-of-the-art technologies and methodologies to deliver actionable insights for connected home systems.
- Be part of an organization recognized for its leadership in both energy and IoT innovation.
- Design and deploy predictive models addressing occupancy, runtime, energy cost forecasting, anomaly detection, and system preconditioning within home energy management.
- Apply data-driven insights to optimize demand response, facilitate time-of-use shifting, and enhance virtual power plant strategies for connected homes.
- Partner with data engineering to improve data integrity, ensuring scalability and transforming legacy datasets into robust, reusable data products.
- Collaborate cross-functionally with product, engineering, and analytics teams to embed intelligence directly into technology platforms.
- Communicate complex model outcomes clearly and effectively to both technical and non-technical stakeholders.
- Engage in rapid prototyping and continuous iteration, taking predictive models from initial concept through to production deployment in partnership with engineering.
- Competitive compensation package designed to attract top talent in the data science field.
- Comprehensive benefits offerings, including Medical, Dental, and Vision insurance.
- Access to an Employee Stock Ownership Program, encouraging long-term investment in the company’s success.
- Life insurance and additional wellness benefits for comprehensive coverage.
- Support from a dedicated Engagement Manager focused on your professional growth and success.
- Recognition as a "Best of Staffing® Client and Talent Award" winner for 12 consecutive years.
- Demonstrated expertise in predictive modeling, forecasting, and applied machine learning, including methods such as regression, gradient boosting, time-series analysis, and causal inference.
- Experience analyzing and processing large-scale event and sensor data, preferably within the energy, IoT, or device-driven sectors.
- Advanced proficiency in Python, including libraries such as Pandas, NumPy, scikit-learn, and PySpark, as well as experience with distributed computing environments (Spark, Databricks, GCP).
- Ability to collaborate with engineering teams to transition models from research and development into production environments.
- Strong statistical analysis skills, including feature engineering and experimental design methodologies such as A/B testing.
- Driven by a passion for using data science to address complex, real-world challenges in energy and IoT.
- Effective communicator capable of translating intricate technical concepts for non-technical audiences.
- Proactive, collaborative, and eager to work in a fast-paced environment with cross-functional teams.
- Committed to continuous learning and staying updated with the latest advancements in data science and machine learning.
- Motivated to contribute to an organizational culture grounded in innovation, sustainability, and excellence.
- The company boasts over 25 years of industry experience and a proven reputation in multiple major markets.
- Employees are encouraged to grow within the organization, with ample opportunities for advancement and professional development.
- Located in Lehi, UT, the company offers a collaborative environment within a thriving technology hub.
- This is a full-time opportunity with a leader in home energy intelligence, focusing on innovative solutions that shape the future of connected homes.
- Apply now by clicking the job application button to propel your career in data science with an industry innovator.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. IDR is subject to certain governmental recordkeeping and reporting requirements for the administration of civil rights laws and regulations. In order to comply with these laws, we invite employees to voluntarily self-identify their race or ethnicity, gender, and veteran status (if applicable). Submission of this information is voluntary and refusal to provide it will not subject you to any adverse treatment. The information obtained will be kept confidential and may only be used in accordance with the provisions of applicable laws, executive orders, and regulations, including those that require the information to be summarized and reported to the federal government for civil rights enforcement. You may access this form here.