<div><div>Data Scientist - Energy (Oil &amp; Gas)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:<ul><li>Perform exploratory and diagnostic data analysis to derive business insights.</li><li>Implement emissions calculations in robust and reproducible way.</li><li>Apply state-of-the-art data mining and machine learning methods to real-world problems.</li><li>Develop and validate predictive models using classification, regression, or time series techniques.</li><li>Process, cleanse, and verify the integrity of data used for analysis.</li><li>Work with engineering and business stakeholders to define requirements and resolve ambiguities.</li><li>Communicate results and insights clearly to both technical and non-technical audiences.</li><li>Succeed by exhibiting strong curiosity and problem-solving mindset.</li><li>Collaborate closely with colleagues in our Cambridge, MA, and Amsterdam, NL offices.</li><li>Contribute to an agile, cross-functional team culture of continuous learning.</li><li>Anything else as may reasonably be required by the company.</li></ul> Experience:Domain Expertise<ul><li>Industry experiences working with energy, utilities or industrial datasets (e.g., oil and gas, renewables, or emissions).</li><li>Familiarity with concepts from engineering system modeling, thermodynamics, or process simulation.</li></ul>Data Science &amp; Analytics<ul><li>Strong skills in Exploratory Data Analysis (EDA), feature engineering and data storytelling.</li><li>Proficient in Python for data science and machine learning, using tools like scikit-learn, XGBoost, NumPy and Pandas.</li><li>Experience developing and validating supervised ML models (classification, regression and time-series).</li><li>Comfortable working with large, messy datasets in cloud-based environments.</li><li>Ability to communicate complex analytical findings clearly to a variety of stakeholders.</li><li>Familiarity with SQL or other structured query tools.</li></ul> Bonus if you have:<ul><li>Familiarity with Pyspark, Delta Lake or other distributed computing tools.</li><li>Experience deploying models using lightweight frameworks (eq. Flask, FastAPI, Streamlit).</li><li>Knowledge of data ontologies, knowledge graphs or semantic modeling.</li><li>PhD or academic research experience in a related discipline (e.g. Chemical, Mechanical or Petroleum Engineering, Data Science, or Computer science and engineering).</li><li>Experience with emissions estimation or climate analytics.</li></ul> Why you’ll like it here:<ul><li>Context Labs is collaborative at its core. You’ll work within your team and across the organization allowing for continuous learning and discovery.</li><li>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.</li><li>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.</li></ul> 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:<a href="http://www.contextlabs.com/">www.contextlabs.com</a></div></div>

Context Labs is dedicated to sourcing, organizing, and contextualizing the world&rsquo;s climate information. The company enables data to become trusted, shared, and utilized as Asset Grade Data, providing insights and solutions to inform markets. Context Labs&rsquo; mission is to provide the world&rsquo;s trusted data fabric platform, delivering Asset Grade Data to customers using the Immutably&trade; Enterprise Data Fabric platform, deploying machine learning, Artificial Intelligence, and cryptographic blockchain technologies, for context-driven insights. Building on the Immutably&trade; Enterprise Data Fabric platform, the company has deployed customer service layers (1) Decarbonization-as-a-Service&trade; (DaaS&trade;), tailored to accelerate the Global Energy Transition, and its (2) CLEAR Path&trade; platform to enable customers to optimize value creation with the highest quality carbon credits. The company was formed out of MIT 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, The Netherlands, Cambridge, Massachusetts, and Houston, Texas. Learn more at www.contextlabs.com.

Data Scientist - Energy (Oil and Gas)

<div><div>Data Scientist - Energy (Oil &amp; Gas)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.&nbsp;This position reports to the Data Science Architect.&nbsp;In this role you will:<ul><li>Perform exploratory and diagnostic data analysis to derive business insights.</li><li>Implement emissions calculations in robust and reproducible way.</li><li>Apply state-of-the-art data mining and machine learning methods to real-world problems.</li><li>Develop and validate predictive models using classification, regression, or time series techniques.</li><li>Process, cleanse, and verify the integrity of data used for analysis.</li><li>Work with engineering and business stakeholders to define requirements and resolve ambiguities.</li><li>Communicate results and insights clearly to both technical and non-technical audiences.</li><li>Succeed by exhibiting strong curiosity and problem-solving mindset.</li><li>Collaborate closely with colleagues in our Cambridge, MA, and Amsterdam, NL offices.</li><li>Contribute to an agile, cross-functional team culture of continuous learning.</li><li>Anything else as may reasonably be required by the company.</li></ul>&nbsp;Experience:Domain Expertise<ul><li>Industry experiences working with energy, utilities or industrial datasets (e.g., oil and gas, renewables, or emissions).</li><li>Familiarity with concepts from engineering system modeling, thermodynamics, or process simulation.</li></ul>Data Science &amp; Analytics<ul><li>Strong skills in Exploratory Data Analysis (EDA), feature engineering and data storytelling.</li><li>Proficient in Python for data science and machine learning, using tools like scikit-learn, XGBoost, NumPy and Pandas.</li><li>Experience developing and validating supervised ML models (classification, regression and time-series).</li><li>Comfortable working with large, messy datasets in cloud-based environments.</li><li>Ability to communicate complex analytical findings clearly to a variety of stakeholders.</li><li>Familiarity with SQL or other structured query tools.</li></ul>&nbsp;Bonus if you have:<ul><li>Familiarity with Pyspark, Delta Lake or other distributed computing tools.</li><li>Experience deploying models using lightweight frameworks (eq. Flask, FastAPI, Streamlit).</li><li>Knowledge of data ontologies, knowledge graphs or semantic modeling.</li><li>PhD or academic research experience in a related discipline (e.g. Chemical, Mechanical or Petroleum Engineering, Data Science, or Computer science and engineering).</li><li>Experience with emissions estimation or climate analytics.</li></ul> Why you’ll like it here:<ul><li>Context Labs is collaborative at its core. You’ll work within your team and across the organization allowing for continuous learning and discovery.</li><li>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.</li><li>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.</li></ul> 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.&nbsp;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.&nbsp;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.&nbsp;&nbsp;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.&nbsp;&nbsp;We are a team that is hiring and growing! Learn more about Context Labs here:<a href="http://www.contextlabs.com/">www.contextlabs.com</a></div></div>

Data Scientist - Energy (Oil and Gas)

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Context Labs

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