Job Information
Bernhard, LLC Data Scientist - Energy Analytics in United States
About Us
Bernhard's core mission is delivering innovative engineering, construction, and energy solutions that empower our clients and promote a sustainable future. Bernhard is comprised of four divisions: Mechanical, Electrical, Engineering, and Development, each with a distinct identity and service offerings. The intersection of our capabilities enables Bernhard to provide turnkey Energy-as-a-Service ("EaaS") solutions to our clients. At the same time, our divisions continue working in the market sectors and communities that the Company has traditionally served. Bernhard's vision is to be the leading EaaS provider in North America through the delivery of excellent, high-value service and innovative solutions for our clients.
Overview
This Data Scientist position will be part of DER/Demand Management team in the Development organization and will apply machine learning and data science practices in new and innovative systems technologies for collecting, computing, and storing energy and telemetry data. This team will leverage modern data science and machine learning technology to produce new innovations and drive industry-wide change within the energy efficiency and optimization industry.
Responsibilities
Specific responsibilities include:
Be an individual contributor in the DER business team within the technology development group.
• Work on an agile development team with others who may be internal or external to Bernhard.
• Collaborate with technical and non-technical team members, who may be employed by Bernhard or external consultants.
• Execute software development tasks and build new financial and energy analytic models.
• Complete some tasks independently or in a self-directed manner.
• Comply with policies and procedures for development including standards for testing, quality control, coding, documentation, etc.
• Contribute to ongoing maintenance and operation of Bernhard’s technology products.
• Heavily engage with Bernhard’s other Development teams.
• Participate in execution of Bernhard’s non-software engineering projects, to gain insight into the use and value of our software products.
Qualifications
Requirements:
Masters in Energy Management, related field, or equivalent
3 years of experience working on a professional financial modeling team.
Experience developing financial and economic analysis energy models.
Experience with energy markets and ability to build pro forma accounting tools
A willingness to engage and learn basics of the different fields of Bernhard’s EaaS business as needed for development.
Strong technical and analytical
Good communication skills, with a willingness to
Ability to learn quickly and adapt to a rapidly changing
Strong desire to continually grow and develop
Proficiency with multiple software platforms, technologies and
Proficiency applying machine learning and other data science techniques in a production
Preferred Education, Experience, and Qualifications:
Proficiency with Python
Proficiency with SkySpark
Experience with agile management tools such as Azure
Experience with developing models and programming in EXCEL, ACCESS and Azure environments.
Experience developing Analytics and ML solutions for IoT and Edge use cases
Travel Requirements:
0-10% of the time will be spent traveling to job site(s)/office
Hybrid - Remote 40%/Nearest Bernhard Office 60%
Bernhard is proud to be an Equal Opportunity Employer of Minorities, Women, Protected Veterans, and Individuals with Disabilities, and participates in the e-Verify program. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, age, sexual orientation, gender identity, national origin, veteran status, disability, or any other classification protected by law.
Submit a Referral (https://careers-bernhard.icims.com/jobs/5697/data-scientist---energy-analytics/job?mode=apply&apply=yes&in_iframe=1&hashed=-1834357758)
Job Locations US
ID 2024-5697
Category Information Technology
Position Type Full-Time
Remote Yes