Data Science Architect

Context Labs Bv - Houston, TX

Full-time - Senior

Houston, TX

About the position

Context Labs is seeking a Data Science Architect to lead the architectural design of scalable data processes and structures for advanced analytics and data science applications in the oil & gas industry. This role involves collaborating with technical teams and executives to support the company's Decarbonization as a Service platform, utilizing Immutably Data Fabric technology. The architect will translate business requirements into technical specifications, develop prototypes, and guide execution through effective communication and documentation.

Responsibilities

• Develop a complete functional understanding of the technology and analytics roadmap.
• Collaborate with Executive and Senior Technical teams to design the enterprise data fabric.
• Lead the design of architectural elements for advanced analytics and data science applications.
• Translate business requirements into technical specifications, including data feeds and transformations.
• Develop prototypes and architectural documentation to communicate design concepts.
• Perform exploratory and diagnostic data analysis to derive business insights.
• Develop predictive models using various analysis techniques.
• Work independently to resolve technical conflicts and ambiguities.
• Report on analysis and prototyping results clearly and concisely.
• Collaborate with colleagues in international offices.

Requirements

• Excellent communication skills, both verbal and written.
• Strong programming skills in Python and/or Scala; experience with JavaScript is a plus.
• Functional understanding of AI/machine learning techniques and algorithms.
• Experience with Python's data science ecosystem including NumPy, Pandas, and Scikit-Learn.
• Proficiency in SQL for data transformation and aggregation.
• Familiarity with conceptual and logical data modeling principles.

Nice-to-haves

• Previous experience in data analysis and platform development in oil & gas or climate science applications.
• 10+ 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 data analysis experience.

Benefits

• Collaborative work environment.
• Opportunities for continuous learning and discovery.
• Commitment to diversity and equal opportunity.
• Support for individuals with disabilities during the application process.