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Data Scientist
Lecturio Weiterbildung & Trainings. Formulate testable hypotheses regarding educational structures, conceptual relationships, and learning outcomes .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in statistical analysis, experimental design, and structured data for machine consumption, with a strong ability to communicate findings effectively. Proficient in Python and familiar with graph database technologies, contributing to the development of knowledge representations in medical contexts.
Highest-signal resume keywords
Statistical AnalysisExperimental DesignPython ProgrammingGraph Database TechnologiesStructured Data Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical AnalysisExperimental DesignData AnalysisStructured DataKnowledge RepresentationData ValidationRelational Data SchemasMetrics DevelopmentQuantitative Evaluation TechniquesHypothesis Testing
Soft Skills
Effective CommunicationTeam CollaborationProactive ForesightOwnership MindsetProblem Solving
Tools & Technologies
PythonNeo4jCypherKnowledge Graph API
Industry Keywords
Medical TerminologiesMeSHSNOMEDICD-10PedagogyLearning ScienceAdaptive Learning Systems
Tech Stack
Tools & technologiesNeo4jPython
About the role
Key responsibilities & impact- Formulate testable hypotheses regarding educational structures, conceptual relationships, and learning outcomes
- Design structured experiments to evaluate hypotheses rigorously
- Analyze domain data to determine optimal data structures
- Define semantic schemas and map complex medical content into structured knowledge representations
- Design validation methodologies, metrics, and quality benchmarks
- Measure the accuracy, logical consistency, and statistical validity of structured knowledge models against gold-standard medical guidelines
- Develop measurable indicators and control mechanisms to evaluate AI feature performance, reasoning quality, and failure modes
- Work with medical experts to validate extraction accuracy
- Partner with the platform engineering team to integrate the Knowledge Graph API into core product features
- Observe data patterns, formulate questions and hypotheses, conduct experiments, analyze data statistically, and draw conclusions
Requirements
What you’ll need- Strong background in statistical analysis, experimental design, and quantitative evaluation techniques
- Proven ability to analyze unstructured problems, perform systematic literature or data research, and derive actionable data-driven insights
- Strong understanding of structured data for machine consumption
- Knowledge of or willingness to learn graph database technologies such as Neo4j and Cypher
- Proficient in Python for data analysis, statistical computing, and rapid proof-of-concept validation
- Ability to communicate clearly and effectively in English, verbally and in writing
- Strong team player with a collaborative approach
- Proactive foresight in defining expected outcomes, timelines, and effort; ownership of achieving objectives
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics or a similar program
- Demonstrated impact and scope in previous roles
- Ownership mindset
- Familiarity with medical terminologies and taxonomies such as MeSH, SNOMED, and ICD-10 (nice-to-have)
- Proven interest in Pedagogy, Learning Science, or Adaptive Learning Systems (nice-to-have)
- Previous experience defining or modeling relational data schemas (nice-to-have)
Benefits
Comp & perks- Flexible working hours and remote work
- Work-life balance
- Highly engaged, motivated, and professional Development team
- Comprehensive, structured HR and professional onboarding process with cross-departmental introductions and feedback sessions
- Free access to the complete Lecturio training platform for personal and professional development
- Free access to coaching sessions and other mental health benefits