Data Scientist - Machine Learning

Brief Description of Sunnova
Sunnova (NYSE: NOVA) is an industry-leading adaptive energy services company focused on making clean energy more accessible, reliable, and affordable for homeowners and businesses. At Sunnova, we embrace diverse perspectives, vibrant creativity and forward-thinkers who share our zeal for a sustainable future. A career with us means pushing beyond traditional limits, exploring new horizons, collaborating with like-minded peers, and transforming the energy industry for the better. If you're excited about being a part of the fastest-growing segment of the energy industry, we encourage you to apply!
THE DATA SCIENTIST POSITIONSunnova Energy is searching for a Data Scientist to design and implement 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.
DATA SCIENTIST RESPONSIBILITIES•Design, train, and implement machine learning (supervised and unsupervised) algorithms•Build, deploy, and maintain machine learning algorithms, interface endpoints, and back-end data infrastructure for digital products.•Perform data mining, exploration, and time series 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
MINIMUM REQUIREMENTS•Bachelor's degree or equivalent, preferably in data science, natural sciences or engineering related field•Expertise in Python and data science libraries such as NumPy, SciKit, SciKit-learn, and pandas•Expertise in data mining and machine learning model development•Experience in computer vision techniques•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
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•Experience with Time-Series Forecasting Methods, Regression Models, Clustering/Dimensionality Reduction•Familiarity with Mixed-Integer-Linear-Programming Algorithms, CPLEX, Gurobi.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 
WORKING CONDITIONS•Extended periods of time working at computer workstation •Some overtime required 
BENEFITSSunnova offers a generous employee reward package that includes:•Comprehensive benefits, including medical, dental, vision, life insurance, healthcare flexible spending account, and 401(k) with employer match.•Competitive compensation & annual bonus•Paid time off, including 11 holidays and Paid Parental Leave
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.We appreciate the capabilities of artificial intelligence (AI), and we are looking to hire real people.  If you use AI for any part of the job application process, we highly encourage that you review any AI generated content to ensure your personality and unique capabilities are highlighted. We reserve the right to disqualify candidates that we reasonably believe solely relied on AI generated content in the application process.If you are selected for a position, your employment will be contingent upon submission to and successful completion of a post-offer/pre-placement drug test (and medical examination if required by the role) as well as pre-placement verification of the information and qualifications provided during the selection process.