Data Scientist - Computer Vision

at  Sunnova Energy International Inc

THE DATA SCIENTIST POSITION

Sunnova Energy is searching for a Data Scientist to be responsible for designing and implementing innovative machine learning solutions within key customer digital products and software solutions which enhance Sunnova’s ability to offer industry leading solar systems and energy solutions to customers. The candidate will work closely with subject matter across various areas of Sunnova’s business to deliver industry differentiating solutions. This position will support key initiatives across several departments.

MINIMUM REQUIREMENTS

• Bachelor’s degree or equivalent, preferably in data science, natural sciences or engineering related field
• 6+ years in experience as a Data Scientist
• Expertise in computer vision techniques
• Expertise in Python and data science libraries such as PyTorch, Keras, NumPy, SciKit, SciKit-learn, and pandas
• Expertise in data mining and machine learning model development
• Familiarity with cloud-based infrastructure and AI/ML services such as Amazon Sagemaker and GroundTruth
• Legally authorized to work in the US for ANY employer
• Previous experience in energy, and in particular, residential solar is highly preferred

PREFERRED QUALIFICATIONS

• Master’s degree or Ph.D. in a quantitative field, such as statistics, computer science, mathematics, or engineering
• Experience in working with geospatial data and analytics
• Experience with big data processing technologies such as Spark
• Experience with AWS, Kubernetes, Docker and containerization technologies
• Familiar with agile software development practices, test-driven development, and story point estimations

ADDITIONAL KNOWLEDGE, SKILLS AND ABILITIES

• Familiarity with photovoltaics or energy storage systems
• Ability to communicate effectively and persuasively with a variety of internal and external parties
• Ability to identify opportunities for technical improvements in specific processes and recommend solutions

• Designs, trains, and implements machine learning (supervised and unsupervised) algorithms
• Builds, deploys, and maintains machine learning algorithms, interface endpoints, and back-end data infrastructure in collaboration with scrum teams and oversight technical architects
• Performs data mining, exploration, and analysis
• Designs machine learning and advanced analytics solutions, algorithms, and cloud architectures needed to satisfy product features and functionality defined by product owner and other stakeholders in a production environment
• Works in all phases of the software development life cycle including functional analysis, development of technical requirements, technical design, prototyping, coding, testing, deployment, data migration, and support
• Assists in integrating subsystems such as data pipelines, AI/ML algorithms, API interfaces into end-user facing products
• Participate in daily scrums, work with Scrum Master and QA Team on projects, and support delivery timelines and priorities
• Organizes and prioritizes individual workload with scrum team through story pointing
• Creates detailed documentation which describes methodology, relevant instructions, and test results
• Finds, analyzes, and fixes bugs and performance problems whenever and wherever they may occur
• Acts as a subject matter expert for products that the scrum team supports
• Responsible for designing and presenting solutions to senior leaders in IT
• Solves problems independently with limited supervision