Energy Data Scientist - Decarbonization Analytics (Hybrid)

Context Labs; Houston (TX); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Context Labs in Houston, TX is seeking an early-career Data Scientist to support the Decarbonization as a Service platform, applying Python, SQL, and ML to real energy and emissions data. You will collaborate with engineers and product teams to translate methods into scalable analytics, write reusable code, and validate results with rigorous statistical approaches.

The role offers hybrid work, exposure to state-of-the-art data fabrics, and the chance to contribute to climate-focused solutions at

Qualifications

• Experience in data science, engineering analytics or related quantitative work.
• Proficient Python and SQL with production-grade code.
• Strong quantitative and analytical problem-solving abilities.
• Experience with messy datasets and data-quality issues.
• Familiarity with Git, code review, testing, and documentation.
• Ability to learn unfamiliar technical subjects quickly.
• Clear communication of methods and results to diverse audiences.
• BS or MS in Engineering, Physics, Applied Math, Data Science or related field.

Responsibilities

• Translate methodologies into computational solutions.
• Develop, validate, and document emissions calculations.
• Explore real-world energy/emissions datasets and assess data quality.
• Build scalable workflows using Python, SQL, and PySpark with production handoff.
• Generalize analyses into reusable software.
• Apply statistical methods to validate results and quantify uncertainty.
• Work with ontology/knowledge-graph framework to connect data.
• Write modular Python code, contribute via Git, reviews, testing, docs.
• Apply ML methods when appropriate.
• Collaborate across Data Science, Data Engineering, App Eng, Product, R&D, and Customer Experience.

Skills

Python

SQL

Statistics

Machine learning

Data processing

Git

Code review

Testing

Documentation

Education

BS in Engineering

MS in Physics

Data Science degree

Tools

PySpark

Spark

Delta Lake

Job description

Context Labs in Houston, TX is seeking an early-career Data Scientist to support the Decarbonization as a Service platform, applying Python, SQL, and ML to real energy and emissions data. You will collaborate with engineers and product teams to translate methods into scalable analytics, write reusable code, and validate results with rigorous statistical approaches.

The role offers hybrid work, exposure to state-of-the-art data fabrics, and the chance to contribute to climate-focused solutions at