Solar
Strong self-direction, initiative, and ability to prioritize multiple tasks from various requestors, demonstrated ability to manage multi-faceted projects.
Experienced with standard data science and machine learning packages such as Numpy, Pandas, Matplotlib, seaborn, bokeh, plotly
Excellent communication, organization and interpersonal skills, comfortable to interpret data and modeling efforts to a large audience on a regular basis and publish results in reputed PV conference and journals.
Travel:
Basic Job Functions:
This position will report to the Head- performance and prediction analysis
All positions in our office require interaction with people and technology while either standing or sitting. To best service our customers, internal and external, all associates must be able to communicate face-to-face and on the phone with or without reasonable accommodation. First Solar is committed to compliance with its obligations under all applicable state and federal laws prohibiting employment discrimination. In keeping with this commitment, it attempts to reasonably accommodate applicants and employees in accordance with the requirements of the disability discrimination laws. It also invites individuals with disabilities to participate in a good faith, interactive process to identify reasonable accommodations that can be made without imposing an undue hardship.
Equal Opportunity Employer Statement: First Solar is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company.
Potential candidates will meet the education and experience requirements provided on the above job description and excel in completing the listed responsibilities for this role. All candidates receiving an offer of employment must successfully complete a background check and any other tests that may be required.
Bachelor’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 4+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development, ideally in Photovoltaics, Power Engineering, or other renewable energy field.
This position will not have direct reports.
Must be able to comply with all safety standards and procedures.
Required Skills/Competencies:
Essential Responsibilities:
This position will not have direct reports.
Develop Artificial Intelligence/Machine Learning based algorithms such as energy prediction model, solar irradiance (GHI, POA) model, spectral correction model, device metastability model, and module degradation model to enable fast learning of product performance.
Will lift up to 58 pounds on an occasional basis, according to work instruction.
Have solid understanding of the machine learning model stack (regression, classification, neural networks, time series) and packages (Scikit learn, Xgboost, Keras, Pytorch, Tensorflow, statsmodels)
About the job
Proficient use of all Microsoft Office suite programs.
Bachelor’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 4+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development, ideally in Photovoltaics, Power Engineering, or other renewable energy field.
Demonstrated results in developing and delivering customer-facing technical collateral.
Will push or pull up to 27 pounds of force on an occasional basis.
Required to use hands to grasp, lift, handle, carry or feel objects repetitively on a frequent basis.
Familiarity with renewables energy prediction modeling (preferably solar) and processing meteorological data and understanding of power engineering.
May stoop, kneel, or bend, on an occasional basis.
Proficient with solar simulation software (PVSyst, PlantPredict, PV Sol, PV Design Pro or similar).
PhD degree in Data Science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 1+ years of relevant work experience in in Data Science, Artificial Intelligence or Machine Learning algorithm development, ideally in Photovoltaics, Power Engineering, or other renewable energy field.
0% – 5% (On occasion/as needed for training, etc.)
Evaluate the feasibility of new products, model energy performance of new module technologies under various meteorological climates, improve model through successive iterations, ensemble results to develop a robust model and validate model prediction with testbed before production deployment.
$75,000 – $100,000 Estimated Annual Salary
Job description subject to change at any time.
This position will report to the Head- performance and prediction analysis
Proficient use of all Microsoft Office suite programs.
Reporting Relationships:
Proficient with programming languages (Python, Matlab, R, or similar), relational databases (SQL server), data analysis and visualization software’s (preferably jmp, Tableau, SAS).
This position will not have direct reports.
Education/Experience:
Develop methods to determine the statistical level of certainty around the quantity and quality of solar insolation at various project sites. This will include familiarity with short term and long term meteorological data sets and understanding industry accepted methods for interpolating data.
Estimated Annual Salary Range:
Will lift up to 37 pounds on a frequent basis.
Job Description
PhD degree in Data Science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 1+ years of relevant work experience in in Data Science, Artificial Intelligence or Machine Learning algorithm development, ideally in Photovoltaics, Power Engineering, or other renewable energy field.
Forecast/Model long-term energy performance of First Solar modules in production/field environments, perform model vs actual analysis on a periodic basis. Identify areas of improvement in the models. Validate model predictions with measured data from plant monitoring systems and field test results.
US Physical Requirements:
This position will report to the Head- performance and prediction analysis
Take ownership of data quality improvement in First Solar’s field test sites. Assist in data analysis and state-of-the-art instrumentation and test equipment development.
First Solar reserves the right to offer you a role most applicable to your experience and skillset.
May reach above shoulder heights and below the waist on a frequent basis.
Will sit, stand, or walk short distances for up to 12 hours per day.
The Data Scientist is responsible for the development, validation, and continuous improvement of models that accurately characterize the performance of First Solar photovoltaic products and systems. He/she will achieve results through leadership of cross-functional teams to identify research needs, develop and execute analysis and test plans, and ensure quality of data collection, analysis and reporting.
Will push or pull up to 10 pounds of force on a frequent basis.
Support methods for verifying the capacity of installed solar PV systems and required customer reported performance metrics. Use standard root cause analysis techniques to identify areas of improvement and provide recommendations to support customer complaints.
Have solid understanding of the machine learning model tradeoffs such as hyper-parameter tuning, regularization, cross-validation, skewness in data, dimensionality reduction, and complexity vs interpretability.
Job description subject to change at any time.
Location: Perrysburg, OH (On-site)
Ability to wear personal protective equipment is required (including, but not limited to; steel toed shoes, cut resistant gloves, jackets, aprons &/or arm guards, safety glasses, hearing protection).
Will climb stairs on a frequent basis.
Bachelor’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 4+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development, ideally in Photovoltaics, Power Engineering, or other renewable energy field.
0% – 5% (On occasion/as needed for training, etc.)
The ideal candidate will build relationships with internal and external groups to research state of the art meteorological analysis, statistical analysis, energy prediction methods & tools, and recommendations for PV power plant design in support of their work. He/she will be capable of independently identifying novel solutions to problems presented and communicating results to both a technical and non-technical audience.
Job description subject to change at any time.
Office Physical Requirements:
Master’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 2+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development, ideally in Photovoltaics, Power Engineering, or other renewable energy field.
Master’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 2+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development, ideally in Photovoltaics, Power Engineering, or other renewable energy field.
Use advanced analytics tools such as Python, R, and Matlab to automate data analysis. Write and document reusable scripts with a mix of API’s and packages.
The successful candidate will be able to adapt quickly to new data and analytical requests from across the First Solar organization. This may include engineering statistical analysis, contract analysis, policy analysis and project management tasks. The Data Scientist will also be responsible for generating detailed energy predictions for prospective and operating sites.
$75,000 – $100,000 Estimated Annual Salary
Other duties as assigned.
20/40 vision in each eye (with or without correction) and the ability to distinguish between red, yellow, and green is required.
Proficient use of all Microsoft Office suite programs.
Solar
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