Abacus
Description:
Responsible for the development and integration of new or existing applications into the technical infrastructure and existing business processes. Provides technical or functional guidance to project or work teams as needed within a specific discipline. Collaborates on an on-going basis with the Business Systems Analyst. Analyzes, designs, develops, tests, debugs, implements, maintains and/or enhances existing or new systems that are reliable and efficient. Enable Skills-Based Hiring No Furlough Notification ll NextEra Energy Contingent Workforce Program (CWP) assignments are eligible for worker furlough. Typical furlough schedules coincide with select national holidays, but may be subject to change. Suppliers will be notified by the CWP of those workers impacted and the applicable furlough dates prior to each furlough period. Worker Building Location JRA - James Robo A Building - 0000555902 Will driving be required as part of position duties/work? No Driving Record Validation For all positions indicating driving requirements, supplier must hold validation of non-restricted current driver''s license and demonstrate the following: no alcohol/drug related driving offenses within the previous five years and/or the license is not currently suspended or restricted related to hours of driving or reason for driving. Additional Job Details Project Name:
FCC Model Upgrades
Position is full time in the PGA campus, no hybrid/remote option Candidate does not require sponsorship.
Position Specific Description: We are looking for an entry-level Data Scientist with strong Python skills to join our team. This role will involve building and configuring logic-based alarms to integrate with an in-house developed application, providing an excellent opportunity for someone looking to expand into data analytics.
Key Responsibilities: Build Logic-Based Alarms: work on building/enhancing logic-based alarms. Data Analysis Support: assist in analyzing data from our energy fleets to help identify potential equipment issues. Team Collaboration: collaborate with engineers, developers and data scientists to integrate models into existing software applications. Required Qualifications: Basic Python Experience Basic SQL Experience Background in Mathematics or Science Good Communication Skills Troubleshooting Abilities
Preferred Qualifications: Exposure to Data Analysis Fossil or nuclear power plant operational knowledge Will Per Diem and Mob/De-Mob expense types be available for this requisition? No If Per Diem is available, please indicate the maximum amount: 0 If Nuclear Business Unit: On-Boarding Note Nuclear workers requiring unescorted badge access will follow onsite in-processing procedures. All others will be required to complete Non-Nuclear pre-assignment screenings through their staffing supplier. Please contact CWP with any questions: cwp@nexteraenergy.com or 561-694-4761. Will the selected worker require unescorted badge access into Nuclear protected areas? No Is NERC CIP unescorted physical or cyber access required for this assignment? No Which NERC access is needed? N/ Is Federal Energy Regulatory Commission access required? No Shift Type Standard Shift (8-5) Hours per Day 8 Hours per Week 40 Total Hours 2,088.00
Comments:
Entered Name Comment 08/29/2025 10:26 AM - Position is full time in the PGA campus, no hybrid/remote option Candidate does not require sponsorship. Please ask the candidates the following screening questions during your phone interview with them. Capture main points of the candidate's responses. Time Series Data Analysis: 1. What is your experience analyzing time series data with Python? 2. Are you skilled in cleaning time series data using Python? How do you usually approach this? SQL Knowledge: 3. How familiar are you with SQL? What is your experience level? 4. Can you explain the purpose of a WHERE clause and a GROUP BY clause in SQL? 5. What are the differences between a database, table, and field? Model Types: 6. How would you explain the difference between a Classification model and a Regression model? Anomaly Detection: 7. What is anomaly detection, and why is it important? 8. Can you describe how anomaly detection might be applied in a real-world scenario?
08/29/2025 10:25 AM - Position is full time in the PGA campus, no hybrid/remote option. Candidate does not require sponsorship. Please ask the candidates the following screening questions during your phone interview with them. Capture main points of the candidate's responses. Time Series Data Analysis: 1. What is your experience analyzing time series data with Python? 2. Are you skilled in cleaning time series data using Python? How do you usually approach this? SQL Knowledge: 3. How familiar are you with SQL? What is your experience level? 4. Can you explain the purpose of a WHERE clause and a GROUP BY clause in SQL? 5. What are the differences between a database, table, and field? Model Types: 6. How would you explain the difference between a Classification model and a Regression model? Anomaly Detection: 7. What is anomaly detection, and why is it important? 8. Can you describe how anomaly detection might be applied in a real-world scenario?
Position is full time in the PGA campus, no hybrid/remote option Candidate does not require sponsorship.
Position Specific Description: We are looking for an entry-level Data Scientist with strong Python skills to join our team. This role will involve building and configuring logic-based alarms to integrate with an in-house developed application, providing an excellent opportunity for someone looking to expand into data analytics.
Key Responsibilities: Build Logic-Based Alarms: work on building/enhancing logic-based alarms. Data Analysis Support: assist in analyzing data from our energy fleets to help identify potential equipment issues. Team Collaboration: collaborate with engineers, developers and data scientists to integrate models into existing software applications. Required Qualifications: Basic Python Experience Basic SQL Experience Background in Mathematics or Science Good Communication Skills Troubleshooting Abilities
Preferred Qualifications: Exposure to Data Analysis Fossil or nuclear power plant operational knowledge Will Per Diem and Mob/De-Mob expense types be available for this requisition? No If Per Diem is available, please indicate the maximum amount: 0 If Nuclear Business Unit: On-Boarding Note Nuclear workers requiring unescorted badge access will follow onsite in-processing procedures. All others will be required to complete Non-Nuclear pre-assignment screenings through their staffing supplier. Please contact CWP with any questions: cwp@nexteraenergy.com or 561-694-4761. Will the selected worker require unescorted badge access into Nuclear protected areas? No Is NERC CIP unescorted physical or cyber access required for this assignment? No Which NERC access is needed? N/ Is Federal Energy Regulatory Commission access required? No Shift Type Standard Shift (8-5) Hours per Day 8 Hours per Week 40 Total Hours 2,088.00
Comments:
Entered Name Comment 08/29/2025 10:26 AM - Position is full time in the PGA campus, no hybrid/remote option Candidate does not require sponsorship. Please ask the candidates the following screening questions during your phone interview with them. Capture main points of the candidate's responses. Time Series Data Analysis: 1. What is your experience analyzing time series data with Python? 2. Are you skilled in cleaning time series data using Python? How do you usually approach this? SQL Knowledge: 3. How familiar are you with SQL? What is your experience level? 4. Can you explain the purpose of a WHERE clause and a GROUP BY clause in SQL? 5. What are the differences between a database, table, and field? Model Types: 6. How would you explain the difference between a Classification model and a Regression model? Anomaly Detection: 7. What is anomaly detection, and why is it important? 8. Can you describe how anomaly detection might be applied in a real-world scenario?
08/29/2025 10:25 AM - Position is full time in the PGA campus, no hybrid/remote option. Candidate does not require sponsorship. Please ask the candidates the following screening questions during your phone interview with them. Capture main points of the candidate's responses. Time Series Data Analysis: 1. What is your experience analyzing time series data with Python? 2. Are you skilled in cleaning time series data using Python? How do you usually approach this? SQL Knowledge: 3. How familiar are you with SQL? What is your experience level? 4. Can you explain the purpose of a WHERE clause and a GROUP BY clause in SQL? 5. What are the differences between a database, table, and field? Model Types: 6. How would you explain the difference between a Classification model and a Regression model? Anomaly Detection: 7. What is anomaly detection, and why is it important? 8. Can you describe how anomaly detection might be applied in a real-world scenario?