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Dida

Data Science Consultant

Dida

. Prepare the content for concept and evaluation workshops and conduct them together with Account Management .

Posted 11/4/2026full-timeBerlin • GermanyJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Python programming and machine learning model application, with a strong ability to analyze customer data and translate workshop outcomes into actionable technical roadmaps. Proficient in facilitating discussions with stakeholders and delivering projects that align technical solutions with business needs.

Highest-signal resume keywords
Python ProgrammingMachine Learning Model ApplicationCustomer Project DeliveryTechnical Roadmap DevelopmentBusiness-Fluent German

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine LearningData AnalysisPrototypingTechnical Feasibility AssessmentDatabase Proficiency
Soft Skills
ModerationCommunicationTeam CollaborationFeedback Reception
Industry Keywords
Concept WorkshopsUse Case EvaluationEffort EstimationCustomer EngagementQuantitative Field Degree

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Prepare the content for concept and evaluation workshops and conduct them together with Account Management
  • Evaluate use cases based on the available data and assess their technical feasibility
  • Analyze customer data in Python
  • Build clickable prototypes or small demos
  • Implement smaller projects independently
  • Translate workshop results into a technical roadmap
  • Own the technical aspects of proposals, including effort estimates
  • Provide technical support during discovery calls and on feasibility-related questions
  • Further develop workshop frameworks and templates
  • Align solution approaches and effort estimates with Sales, Account Management, and ML Scientists
  • Assume technical responsibility during the concept phase of customer projects

Requirements

What you’ll need
  • 2 to 5 years of professional experience overall
  • Hands-on experience applying ML models in projects
  • Proficiency in Python and databases
  • Ability to assess suitable methods for use cases and their data requirements, ranging from classical ML to LLM-based approaches
  • Experience in customer projects, including direct project delivery with customers
  • Experience preparing and moderating meetings with business departments and management
  • Excellent degree in a quantitative field, such as Computer Science, Mathematics, Physics, Data Science, or Engineering
  • Confidently moderate discussions and explain technical content clearly to business stakeholders and IT teams
  • Business-fluent German (C2)
  • Fluent English for internal collaboration
  • Hands-on mindset and enthusiasm for rapidly creating initial prototypes
  • Willingness to work closely as part of a team, share knowledge, and give and receive direct feedback

Benefits

Comp & perks
  • Flexible working hours
  • Hybrid work
  • Full-time or part-time employment
  • Direct collaboration with the management team
  • Attractive office with excellent coffee in Berlin-Kreuzberg, near Moritzplatz