Senior Data Scientist

Senior Data Scientist 

Amsterdam, NL (Hybrid)
About this position:

Context Labs is seeking a Data Scientist to work on the research and development of advanced data tools and products to support Context Labs’ Decarbonization as a Service™ platform, built on our Immutably™ Data Fabric technology.

Responsibilities include understanding the platform and workflows performed for customers, identifying opportunities to optimize existing data processes and data structures that support our advanced analytics and data science applications, including machine learning and artificial intelligence. The candidate will work cross-functionally to help translate business requirements and technical specifications into solutions—performing research, building prototypes and tools, and creating documentation as required to formalize and communicate implementation concepts to the Data and Software Engineering teams for execution.

This is a diverse role requiring skills ranging from software development to machine learning applications. This position reports to the Chief Data and Analytics Officer.

In this role you will:

• Perform exploratory and diagnostic data analysis to identify opportunities for optimization and scaling of information processing and retrieval.
• Be responsible for data mining using state-of-the-art methods.
• Document requirements and resolve conflicts or ambiguities.
• Develop prototypes, technical requirements specifications, and other documentation as required to formalize and communicate design concepts to Software and Data Engineering teams for execution.
• Be able to work in a self-directed fashion to work through ambiguities, grasp and implement effective abstractions and solutions, and develop resolutions for technical conflicts.
• Reporting on the results of the analysis in succinct form.
• Regularly work with colleagues in our US offices (Cambridge, MA and Houston, TX)
• Anything else as may reasonably be required by the company.

Experience:

• Good understanding of machine learning techniques and algorithms.
• Solid understanding of research design principles.
• Knowledge of Software Development Lifecycle.
• Strong programming skills in Python. Experience with JavaScript is a plus.
• Hands-on experience with building end-to-end prototypes covering stages from data ingestion and processing to instantiation of interactive UI.
• Understanding and experience with LLM OPS workflows, including fine-tuning, inference optimization, integration and monitoring is a plus.
• Broad experience with elements of Python’s data science and machine learning ecosystem including NumPy, Pandas/Polars, Jupyter, SciPy, Scikit-Learn, Statsmodels, Altair, etc.
• Experience with building applications with Flask, Gradio, Streamlit.
• Experience with data visualization tools and frameworks such as Vega/Vega-Lite, D3.js, Plotly, Gephi, Tableau, etc.
• Proficiency in using SQL.
• Familiarity with graph databases and query languages such as Cypher or Gremlin is a plus.
• Conceptual understanding of knowledge graphs and ontologies.
• Strong communications skills with technical and non-technical audiences.

Preferred Experience:

• Previous experience performing data analysis
• Full stack software experience
• 4+ years of experience in a relevant data science role
• Master’s degree in computer science, data analytics, applied mathematics, or related field.

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 [email protected].

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