ENGIE - Houston, TX

posted 5 months ago

Full-time - Mid Level
Houston, TX
Utilities

About the position

The Senior Data Scientist, Performance Analytics will play a pivotal role in leveraging statistical programs and developing internal analytical solutions to conduct in-depth analyses of project operations data. This position requires a strong focus on maintaining data pipelines, which involves collecting, cleaning, standardizing, and analyzing data from various internal and external sources. The Senior Data Scientist will utilize effective communication skills to interpret data analysis results and present insights through clear written reports and persuasive oral presentations. Collaboration is key in this role, as the Senior Data Scientist will work on the creation and ongoing enhancement of products that provide intuitive data visualizations and reports. These tools are designed to help users comprehend complex concepts, discern trends, and make informed business decisions. The role also involves writing ad hoc Python and SQL scripts for development and analytics, particularly for lost energy quantification. Additionally, the Senior Data Scientist will contribute to the development and enhancement of routines that improve business efficiency and analytical methodologies. Utilizing parallelized programming tools such as Databricks for batch processing across large datasets is essential. The Senior Data Scientist will also be responsible for improving and recommending data collection, cleaning, and quality control specifications, as well as data sampling techniques. Applying missing data treatments as needed for reporting is another critical aspect of this role. Furthermore, collaboration with other data scientists and analysts to develop and refine best practices for analytics teams is expected.

Responsibilities

  • Maintain data pipelines by collecting, cleaning, standardizing, and analyzing data from various internal and external sources.
  • 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.
  • Write ad hoc Python and SQL scripts for development and analytics for 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.

Requirements

  • 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.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Employer-paid short-term and long-term disability insurance
  • Employee Stock Purchase Plan (ESPP)
  • Generous paid time off including wellness days, holidays, and leave programs
  • 401(k) Retirement Savings Plan with company match
  • Supplemental benefits for full-time employees that enhance emotional and physical well-being.
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