Data Scientist helping Qliro develop payment solutions through machine - learning in credit and fraud domains. Collaborating in a modern data platform environment to enhance decision - making capabilities.
About the role
- 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.
Job title
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Experience level
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Not specified
Degree requirement
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