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Data Scientist
Context Labs BV. Work with domain experts to understand engineering and emissions methodologies, assumptions, and requirements .
Tech Stack
Tools & technologiesPySparkPythonSQL
About the role
Key responsibilities & impact- Work with domain experts to understand engineering and emissions methodologies, assumptions, and requirements
- Translate methodologies and research ideas into computational solutions
- Develop, implement, validate, and document reproducible emissions calculations and analytical methodologies
- Explore customer datasets, identify data-quality issues, and investigate discrepancies
- Implement scalable analytical workflows using Python, SQL, and PySpark
- Generalize customer-specific calculations, research ideas, and prototypes into reusable software and product capabilities
- Apply statistical methods to validate results, quantify uncertainty, and understand data and methodology limitations
- Work within ontology- and knowledge-graph-based frameworks
- Write maintainable modular Python code and contribute through Git, code review, testing, and documentation
- Apply machine learning methods including regression, classification, time-series analysis, and anomaly detection
- Collaborate with Data Science, Data Engineering, Application Engineering, Product, R&D, and Customer Experience teams
- Report to the Data Science Architect
Requirements
What you’ll need- Relevant professional experience in data science, scientific computing, engineering analytics, or related quantitative work
- Candidates with an advanced degree and substantial applied research or project experience will also be considered
- Strong Python and SQL skills, including maintainable, modular code beyond exploratory notebooks
- Strong quantitative and analytical problem-solving skills
- Working knowledge of statistics, including distributions, descriptive statistics, regression, and statistical validation
- Experience investigating messy or heterogeneous datasets and identifying data-quality issues
- Familiarity with Git, code review, testing, and documentation
- Strong initiative and ability to learn unfamiliar technical subjects
- Ability to communicate analytical approaches, assumptions, and results clearly to technical and non-technical colleagues
- BS or MS degree in Engineering, Physics, Applied Mathematics, Data Science, or another related quantitative scientific or technical discipline
Benefits
Comp & perks- Collaborative work environment with continuous learning and discovery
- Work on meaningful products that positively impact carbon reduction and climate change
- Reasonable accommodation for individuals with disabilities
- Equal opportunity and inclusive workplace