.Senior Data Scientist - Energy (Oil & Gas)

at  Context Labs

1AC, Noord-Holland, Netherlands -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate16 Dec, 2024Not Specified18 Sep, 20244 year(s) or aboveGephi,Data Analytics,Aggregation,Applied Mathematics,Pandas,Javascript,Algorithms,Altair,Environmental Science,Learning Techniques,Data Analysis,Scikit Learn,Sql,Design Principles,Scipy,Computer Science,Tableau,Numpy,Data Transformation,Python,ElementsNoNo
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Description:

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 Chief Data and Analytics Officer.

EXPERIENCE:

  • Good understanding of machine learning techniques and algorithms.
  • Solid understanding of research design principles.
  • Strong programming skills in Python. Experience with JavaScript is a plus.
  • Broad experience with elements of Python’s data science and machine learning ecosystem including NumPy, Pandas, Jupyter, SciPy, Scikit-Learn, Statsmodels, Altair, etc.
  • Strong communications skills with technical and non-technical audiences.
  • Experience with data visualization tools and frameworks such as Vega/Vega-Lite, D3.js, Plotly, Gephi, Tableau, etc.
  • Proficiency in using SQL for data transformation and aggregation.
  • Familiarity with conceptual and logical data modeling principles.

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
  • Master’s degree in computer science, data analytics, applied mathematics, or related field.
  • Degree in environmental science or climate science with strong experience in data analysis

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.co

Responsibilities:

  • Perform exploratory and diagnostic data analysis to derive business insights.
  • 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.
  • Documenting the types and structure of the business data (logical modeling) and lineage.
  • Reporting on the results of the analysis in succinct form.
  • Anything else as may reasonably be required by the company.


REQUIREMENT SUMMARY

Min:4.0Max:9.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Software Engineering

Graduate

Computer Science, Mathematics

Proficient

1

1015 Amsterdam Centrum, Netherlands