Senior Data Scientist, Performance Analytics

What You Can Expect

The Senior Data Scientist, Performance Analytics will be responsible for using statistical programs, developing internal analytical solutions, and using tools to conduct intensive analysis of project operations data.

 

Every day in this role the Senior Data Scientist will assist with maintaining data pipelines by collecting, cleaning, standardizing, and analyzing data from various internal and external sources.

 

• Use effective communication skills to interpret data analysis results and articulate insights through clear written reports and persuasive oral presentations
• Collaborate in the creation and ongoing enhancement of products that provide intuitive data visualizations and reports. These tools are designed to assist all users in comprehending complex concepts, discerning trends, and informing sound business judgments
• Write ad hoc Python, SQL, scripts for development and analytics for the lost energy quantification
• Contribute to the development and enhancement of routines that enhance business efficiency and analytical methodologies
• Utilize parallelized programming (Databricks etc.) for batch processing across large datasets
• Improve and recommend data collection, cleaning, and quality control specifications and data sampling techniques
• Apply missing data treatments as needed for reporting
• Collaborate with other data scientists and analysts to develop and refine best practices for analytics teams

 

 

What You’ll Bring

• Bachelor's Degree in Computer Science, Finance, Engineering, Math, Physics, Data Science, Business Analytics, or similar field of quantitative study

• Minimum of five (5) years of relevant work experience in the Renewable energy industry, such as trading, portfolio management, asset management, investment advisory, quantitative analytics, or risk analytics
• Knowledge of Renewable and BESS asset revenue streams and their valuation
• Proficiency in at least one programming language (e.g., Python, R, MATLAB, C/C++)
• Familiarity with optimization models and linear optimization
• Advanced Excel skills, working knowledge of VBA/SQL/Python
• Previous experience building production level models for power markets
• Demonstrated robust quantitative and analytical abilities, coupled with a meticulous approach to ensure precision and clarity in all tasks
• Software/Database experience with SQL, Python, and Jupyter notebook
• Excellent analytical and problem-solving skills

 

 

Additional Details

• This role is eligible for our hybrid work policy
• Ability to manage multiple assignments on a timely basis, tight deadlines, and with a high degree of accuracy
• Must be willing and able to comply with all ENGIE ethics and safety policies

 

 

Compensation

Salary Range: $84,000 – $128,800 USD annually