Senior Data Scientist - Delivery

Senior Data Scientist - Delivery (Oil and Gas industry)

Houston, TX (Hybrid)

About this position:

Context Labs is seeking a Data Scientist to support the deployment of Context Labs’ Decarbonization as a Service™ platform, built on our Immutably™ Data Fabric technology. The candidate will perform research and analysis required by customer projects to deploy data-driven business products related to greenhouse gas mitigation within the energy industry. Responsibilities include understanding, integration, testing and analysis of data from a wide variety of data sources, developing and documenting methodology for scalable emissions analytics, building and testing predictive models for the anomaly detection and other use cases. This is a diverse role requiring skills from software development to applied mathematics and statistics. This position reports to the Data Science Architect.

In this role you will:

• Perform exploratory and diagnostic data analysis to derive business insights.
• Implement emissions calculations in robust and reproducible way.
• Be responsible for data mining using state-of-the-art methods.
• Develop predictive models using classification and regression analysis techniques.
• Process, cleanse, and verify the integrity of data used for analysis.
• Document requirements and resolve conflicts or ambiguities.
• Reporting on the results of the analysis in succinct form.
• Succeed by exhibiting strong curiosity and problem-solving mindset.
• Effectively collaborate and communicate across technical and non-technical teams
• Regularly work with colleagues in our Cambridge, MA, and Amsterdam, NL offices.
• Work in an agile, cross-functional environment and contribute to a culture of continuous learning
• Anything else as may reasonably be required by the company.

Experience:

Domain Expertise

• Industry experience in energy and chemicals, including oil & gas, petrochemicals, renewables, or utilities
• Strong understanding of engineering system modeling, thermodynamics, and process simulation

Data Science & Analytics

• Data wrangling: Proficient in cleaning, merging, and transforming large-scale datasets
• Exploratory Data Analysis (EDA) and feature engineering
• Machine Learning (ML): Skilled in building, validating, and tuning predictive models
• Familiarity with time series forecasting, classification, and regression techniques
• Data visualization: Expertise with tools such as Plotly, Seaborn, Matplotlib, and Dash
• Data storytelling: Ability to translate complex analyses into clear, actionable insights for technical and non-technical stakeholders

Big Data & Distributed Computing

• Experience working with large-scale datasets in cloud or distributed computing environments
• Hands-on experience with PySpark for distributed data processing
• Familiarity with Delta Lake / Delta Tables for scalable, ACID-compliant data management on data lakes

Programming & Tools

• Strong programming skills in Python, including core scientific and machine learning libraries (NumPy, Pandas, scikit-learn, XGBoost; TensorFlow/PyTorch a plus)
• Experience with JavaScript is a plus
• Comfortable with SQL, NoSQL, and API integrations for data ingestion
• Experience deploying models using lightweight frameworks (e.g., Flask, FastAPI, Streamlit) for prototyping and internal applications
• Familiarity with production-grade deployment and MLOps platforms (e.g., Azure ML, MLflow, SageMaker) including model versioning and endpoint management

Preferred Experience:

• Previous experience performing data analysis in Oil & Gas or climate science applications would be viewed favorably but not required.
• 4+ years of experience in a relevant data science role.
• Experience with developing and applying data ontologies and knowledge graphs.
• Bachelor’s or Master’s degree in Chemical, Mechanical,  Petroleum Engineering or closely related field (Ph.D. a plus)

Why you’ll like it here:

• Context Labs is collaborative at its core. You’ll work within your team and across the organization allowing for continuous learning and discovery.
• We set goals that matter and provide value in all that we do, from building meaningful products to positively impacting carbon reduction and climate change.
• Context Labs’ mission is to transform complex data into continuously proven information. Powered by Immutably™, an innovative, trusted data fabric platform, our integrated solutions deliver context-driven insights that enable human networks to spot patterns, correlate trends - and reveal the ground truth hidden inside the world’s most complicated, persistent problems.

We understand that applying for a job can be intimidating. Applicants rarely meet every single job requirement, and we know there are many skills and backgrounds that will contribute to success in this role. If you’re interested in applying, please do so.

Context Labs embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our products will be. Context Labs will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please contact Human Resources at HR@contextlabs.com.

Who we are:

Context Labs is dedicated to sourcing, organizing, and contextualizing the world’s climate information. The company enables data to become trusted, shared, and utilized as Asset Grade Data (AGD™), providing insights and solutions to inform markets. Context Labs mission is to provide the world’s trusted data fabric platform, delivering Asset Grade Data to customers using the Immutably™ Enterprise Data Fabric platform, deploying machine learning, Artificial Intelligence, and cryptographic blockchain technologies, for context-driven insights. 

Building on the Immutably™ Enterprise Data Fabric platform, the company has deployed customer service layers (1) Decarbonization-as-a-Service™ (DaaS™), tailored to accelerate the Global Energy Transition, and its (2) CLEAR Path™ platform to enable customers to optimize value creation with the highest quality carbon credits. The company was formed out of MIT (Massachusetts Institute of Technology) research and is comprised of a leadership team that has been instrumental in the at-scale growth of the Internet, in prior companies. The company has offices in Amsterdam, Cambridge, Mass., and Houston. 

We are a team that is hiring and growing! Learn more about Context Labs here:

www.contextlabs.com