Hybrid Data Scientist – Energy, Oil and Gas

at Context Labs BV

• Job title: Data Scientist – Energy, Oil and Gas
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Flask, Numpy, Pandas, PySpark, Python, Scikit-Learn, SQL
• Location requirements: Hybrid, Houston, United States

About the role

• Data Scientist supporting Context Labs’ Decarbonization as a Service platform, specializing in emissions analytics for the energy sector. Collaborating with teams in Cambridge, MA, and Amsterdam, NL.

Responsibilities

• Perform exploratory and diagnostic data analysis to derive business insights.
• Implement emissions calculations in robust and reproducible way.
• Apply state-of-the-art data mining and machine learning methods to real-world problems.
• Develop and validate predictive models using classification, regression, or time series techniques.
• Process, cleanse, and verify the integrity of data used for analysis.
• Work with engineering and business stakeholders to define requirements and resolve ambiguities.
• Communicate results and insights clearly to both technical and non-technical audiences.
• Collaborate closely with colleagues in our Cambridge, MA, and Amsterdam, NL offices.

Requirements

• Domain Expertise Industry experiences working with energy, utilities or industrial datasets (e.g., oil and gas, renewables, or emissions).
• Familiarity with concepts from engineering system modeling, thermodynamics, or process simulation.
• Strong skills in Exploratory Data Analysis (EDA), feature engineering and data storytelling.
• Proficient in Python for data science and machine learning, using tools like scikit-learn, XGBoost, NumPy and Pandas.
• Experience developing and validating supervised ML models (classification, regression and time-series).
• Comfortable working with large, messy datasets in cloud-based environments.
• Ability to communicate complex analytical findings clearly to a variety of stakeholders.
• Familiarity with SQL or other structured query tools.
• Bonus if you have:
• Familiarity with Pyspark, Delta Lake or other distributed computing tools.
• Experience deploying models using lightweight frameworks (eq. Flask, FastAPI, Streamlit).
• Knowledge of data ontologies, knowledge graphs or semantic modeling.
• PhD or academic research experience in a related discipline (e.g. Chemical, Mechanical or Petroleum Engineering, Data Science, or Computer science and engineering).
• Experience with emissions estimation or climate analytics.

Benefits

• Context Labs embraces diversity and equal opportunity.
• We provide reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment.