Senior Data Science Renewable Energy Jobs (NOW HIRING)

RESPONSIBILITIES:
Kforce has a client that is seeking a Senior Data Analyst in Juno Beach, FL.
Responsibilities:
* Senior Data Analyst will design, develop, and maintain data pipelines and ETL processes
* Ensure data quality and integrity across various sources and platforms
* Collaborate with IT to integrate data solutions within existing infrastructure
* Develop and implement simple machine learning models and algorithms to derive actionable insights
* Perform data analysis and visualization to support business decisions
* Conduct experiments and validations to iterate on model performance
* Collaborate with UX/UI designers to develop user-friendly interfaces for AI-driven tools
* As a Senior Data Analyst, you will implement interactive web applications to visualize data and model outcomes
* Integrate front-end applications with back-end services and databases
* Manages allotted projects to achieve deadlines pertaining to the scope of SCADA integration, commissioning, startup, and testing
* Works collaboratively with in-house resources and suppliers in various disciplines to determine project priorities, achieve milestones and actions, schedule and work plans to meet milestones
* Plans and schedules work and vendors to achieve portfolio deliverables
* Commission SCADA equipment for Photovoltaic and Energy Store System
* Senior Data Analyst will read and review engineering drawing for SCADA and power plant equipment
* Reporting daily, weekly, and monthly on progress to upper management
* Performs other job-related duties as assigned
REQUIREMENTS:
* Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics or related education, or equivalent experience related to Data Analytics for Renewable power plants
* Excellent communication, analytical and problem-solving skills
* Renewable industry experience
* The ideal candidate will have a foundation in data science and the technical skills necessary for data engineering and some front-end development knowledge; This role is key in driving the development and implementation of minimum viable products for intelligent solutions that optimize internal processes and SCADA operations for Renewable power plants
Preferred Skillsets:
* Experience with data processing frameworks like Apache Spark, Hadoop, or Kubernetes
* Familiarity with front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular
* Understanding of RESTful APIs and web services integration
* Knowledge of AI and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn
* Proficiency in programming languages such as Python, R, or Scala for data analysis and machine learning
* Adept at using SQL and NoSQL databases
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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