Data Analytics / Data Science Tutor, Instructor

StackFuel

. Answer learners’ questions accurately, both in writing and verbally .

Posted 9/23/2026full-timeRemote • GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics and data science, with strong capabilities in teaching and developing learning materials for diverse audiences. Proficient in Python, SQL, and data visualization, while fostering a supportive learning environment.

Highest-signal resume keywords

Data AnalyticsData SciencePython ProgrammingTeaching ExperienceAdult Education

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CleaningExploratory Data AnalysisData VisualizationModel DevelopmentSQL

Soft Skills

Clear CommunicationEmpathyCustomer OrientationTeam SpiritResilience

Tools & Technologies

PandasMatplotlibScikit-LearnAI Tools

Industry Keywords

Quantitative FieldInstructional ConceptsOnline LearningTraining ProgramsCoaching

Tech Stack

Tools & technologies

PandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Answer learners’ questions accurately, both in writing and verbally
Create, prepare, and continuously improve learning materials covering data analytics and data science
Teach and reinforce training content in live sessions, webinars, classrooms, and through one-to-one learning support
Support learners when they are uncertain and guide them through exercises and projects
Assess learning progress
Conduct and grade final examinations and determine training outcomes
Ensure the quality of existing training programs and provide feedback to the Learning Team
Conduct individual coaching sessions
Support new team members
Collaborate with the Coaching Team Lead, the Learning Team, and other stakeholders
Actively contribute to the ongoing development of training programs

Requirements

What you’ll need

Completed degree in a quantitative field, such as computer science, (business) mathematics, natural sciences, or business informatics, or an equivalent qualification
Several years of professional experience in data analytics or data science
Ability to clean and conduct exploratory analyses of data
Ability to visualize results clearly and accessibly
Ability to develop and evaluate basic models
Knowledge of Python, pandas, matplotlib, and scikit-learn
SQL skills and experience using AI tools are an advantage
Teaching experience conveying technical or subject-matter content to non-technical audiences
Understanding of instructional concepts in adult education and online learning
Strong customer and service orientation, empathy, clear communication, and a constructive feedback culture
Hands-on mentality, team spirit, resilience, and flexibility
Excellent German and English skills (at least C1 level)
EU citizenship or a valid work permit for Germany

Benefits

Comp & perks

Solution-oriented and data-driven approach to work
Open feedback culture
Strong team spirit
Two elected trustees serving as neutral and confidential points of contact
Opportunity to take on responsibility and contribute your own ideas from day one
Up to 10 days of workation per year from anywhere in the EU, EEA, or Turkey
Regular team exchanges
Seasonal celebrations
A well-stocked kitchen at all times
Access to online training for professional development