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(Senior) Data Scientist – Search / Relevance(m/w/x)
Improving search relevance and product comparison for millions of customers. 5+ years experience and proven business impact required. Learning Hub access, personal development support.
Requirements
- At least 5 years of experience as Data Scientist or similar role
- Track record of delivering measurable business impact
- Degree (Ph.D., M.Sc. or equivalent) in quantitative field
- Strong experience in experimentation and A/B testing
- Hypothesis design, statistical evaluation, and causal effects interpretation
- Product-oriented mindset
- Enjoy working closely with Product Managers and Engineers
- Enjoy independently digging into complex data
- Systematic approach to analytical tasks
- Ability to set own goals and produce quantitative results
- Comprehensible presentation of quantitative results
- Proficiency in SQL
- Proficiency in Python (pandas, NumPy, scipy)
- Communicate findings through clear visualizations
- Communicate findings through storytelling
- Strong analytical thinking
- Comfortable working with complex datasets
- Generate actionable insights from datasets
- Experience with query understanding
- Experience with semantic search
- Experience with linguistic analysis
- German-speaking skills
Tasks
- Collaborate with Product Management, Engineers, and Analysts to enhance customer experience.
- Analyze large, complex datasets to identify patterns, trends, and opportunities.
- Focus on business impact and customer value in data analysis.
- Define and refine problem statements with Product and stakeholders.
- Translate business needs into clear analytical questions and hypotheses.
- Design, run, and analyze experiments (e.g., A/B tests) to evaluate product changes.
- Guide decision-making based on causal inference from experiments.
- Drive solution design and impact assessments collaboratively with the team.
- Ensure insights lead to actionable outcomes.
- Build dashboards and define KPIs to monitor performance.
- Make success measurable and transparent through performance monitoring.
- Proactively identify opportunities for data-driven value creation.
- Identify gaps where additional data or tracking is needed.
Work Experience
- 5 years
Education
- Master's degree
Languages
- German – Native
Tools & Technologies
- SQL
- Python
- pandas
- NumPy
- scipy
Benefits
Mentorship & Coaching
- Personal development support
- Coaching and mediation
Learning & Development
- Learning Hub access
- eLearning offerings
- Learning and development budget
Snacks & Drinks
- Free organic breakfast
- Free coffee
- Free lemonades
Free or Subsidized Food
- Free excellent lunch
Team Events
- After-work beer
- Foosball
- Team events
- Company events
Startup Environment
- Rooftop terrace
Mental Health Support
- Free counseling and support
Company Bike
- Job bike
Public Transport Subsidies
- Deutschlandticket
Healthcare & Fitness
- Fitness and sports options
- Urban Sports membership
- Gympass membership
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(Senior) Data Scientist – Search / Relevance(m/w/x)
Improving search relevance and product comparison for millions of customers. 5+ years experience and proven business impact required. Learning Hub access, personal development support.
Requirements
- At least 5 years of experience as Data Scientist or similar role
- Track record of delivering measurable business impact
- Degree (Ph.D., M.Sc. or equivalent) in quantitative field
- Strong experience in experimentation and A/B testing
- Hypothesis design, statistical evaluation, and causal effects interpretation
- Product-oriented mindset
- Enjoy working closely with Product Managers and Engineers
- Enjoy independently digging into complex data
- Systematic approach to analytical tasks
- Ability to set own goals and produce quantitative results
- Comprehensible presentation of quantitative results
- Proficiency in SQL
- Proficiency in Python (pandas, NumPy, scipy)
- Communicate findings through clear visualizations
- Communicate findings through storytelling
- Strong analytical thinking
- Comfortable working with complex datasets
- Generate actionable insights from datasets
- Experience with query understanding
- Experience with semantic search
- Experience with linguistic analysis
- German-speaking skills
Tasks
- Collaborate with Product Management, Engineers, and Analysts to enhance customer experience.
- Analyze large, complex datasets to identify patterns, trends, and opportunities.
- Focus on business impact and customer value in data analysis.
- Define and refine problem statements with Product and stakeholders.
- Translate business needs into clear analytical questions and hypotheses.
- Design, run, and analyze experiments (e.g., A/B tests) to evaluate product changes.
- Guide decision-making based on causal inference from experiments.
- Drive solution design and impact assessments collaboratively with the team.
- Ensure insights lead to actionable outcomes.
- Build dashboards and define KPIs to monitor performance.
- Make success measurable and transparent through performance monitoring.
- Proactively identify opportunities for data-driven value creation.
- Identify gaps where additional data or tracking is needed.
Work Experience
- 5 years
Education
- Master's degree
Languages
- German – Native
Tools & Technologies
- SQL
- Python
- pandas
- NumPy
- scipy
Benefits
Mentorship & Coaching
- Personal development support
- Coaching and mediation
Learning & Development
- Learning Hub access
- eLearning offerings
- Learning and development budget
Snacks & Drinks
- Free organic breakfast
- Free coffee
- Free lemonades
Free or Subsidized Food
- Free excellent lunch
Team Events
- After-work beer
- Foosball
- Team events
- Company events
Startup Environment
- Rooftop terrace
Mental Health Support
- Free counseling and support
Company Bike
- Job bike
Public Transport Subsidies
- Deutschlandticket
Healthcare & Fitness
- Fitness and sports options
- Urban Sports membership
- Gympass membership
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
idealo internet GmbH
Industry
Retail
Description
Das Unternehmen hilft Nutzern, bessere Kaufentscheidungen zu treffen und konzentriert sich auf agiles Arbeiten und Nachhaltigkeit.
Not a perfect match?
- SumUp
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