Data Scientist optimizing data structures for decarbonization platform at Context Labs. Collaborating cross-functionally to enhance data tools and analytics applications.
Responsibilities
Understand the platform and workflows performed for customers.
Identify opportunities to optimize existing data processes and data structures that support advanced analytics and data science applications.
Work cross-functionally to help translate business requirements and technical specifications into solutions.
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.
Work in a self-directed fashion to work through ambiguities, grasp and implement effective abstractions and solutions, and develop resolutions for technical conflicts.
Report on the results of the analysis in succinct form.
Regularly work with colleagues in US offices (Cambridge, MA and Houston, TX).
Requirements
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.
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.
Benefits
Context Labs embraces diversity and equal opportunity.
Reasonable accommodation for individuals with disabilities during the hiring process.
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