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Data Scientist – TV-Insight(m/w/x)
Description
Real-time projection processing and machine learning deployment for TV measurement at digital media spin-off. 3+ years of professional experience in statistical modeling with R or Python required. High-performance computing environment, collaboration with specialized engineering teams.
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Requirements
- •Master’s degree, PhD, or related discipline
- •3+ years of professional experience
- •Statistical modelling using R or Python
- •Experience with databases and SQL
- •Expertise in core statistical methods
- •Ability to create visualizations and dashboards
- •Strong presentation and communication skills
- •Effective collaboration in cross-functional teams
Education
Work Experience
3 years
Tasks
- •Develop and deploy machine learning models for TV-Insight
- •Build and improve real-time machine learning applications
- •Develop model components for real-time projection processing
- •Collaborate with engineers and analysts on technical implementation
- •Maintain high standards for statistical modelling
- •Conduct exploratory data analyses to evaluate input data
- •Analyze model behavior and performance
- •Uphold best practices in modeling and production-quality code
- •Communicate insights through dashboards and reports
- •Enable data-driven decision-making for stakeholders
- •Stay updated on technological and industry developments
- •Assess the potential of new methods and tools
- •Implement and test ideas in small-scale experiments
- •Validate and scale successful experiments into production
Tools & Technologies
Languages
English – Business Fluent
Benefits
Competitive Pay
- •Market-oriented salaries
- Red BullFull-timeOn-siteExperiencedElsbethen
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Data Scientist – TV-Insight(m/w/x)
The AI Job Search Engine
Description
Real-time projection processing and machine learning deployment for TV measurement at digital media spin-off. 3+ years of professional experience in statistical modeling with R or Python required. High-performance computing environment, collaboration with specialized engineering teams.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Master’s degree, PhD, or related discipline
- •3+ years of professional experience
- •Statistical modelling using R or Python
- •Experience with databases and SQL
- •Expertise in core statistical methods
- •Ability to create visualizations and dashboards
- •Strong presentation and communication skills
- •Effective collaboration in cross-functional teams
Education
Work Experience
3 years
Tasks
- •Develop and deploy machine learning models for TV-Insight
- •Build and improve real-time machine learning applications
- •Develop model components for real-time projection processing
- •Collaborate with engineers and analysts on technical implementation
- •Maintain high standards for statistical modelling
- •Conduct exploratory data analyses to evaluate input data
- •Analyze model behavior and performance
- •Uphold best practices in modeling and production-quality code
- •Communicate insights through dashboards and reports
- •Enable data-driven decision-making for stakeholders
- •Stay updated on technological and industry developments
- •Assess the potential of new methods and tools
- •Implement and test ideas in small-scale experiments
- •Validate and scale successful experiments into production
Tools & Technologies
Languages
English – Business Fluent
Benefits
Competitive Pay
- •Market-oriented salaries
About the Company
Red Bull
Industry
Media
Description
The company is a global leader in the food and beverages industry, known for its energy drinks and commitment to innovation.
- Red Bull
Data Scientist(m/w/x)
Full-timeOn-siteExperiencedElsbethen - Red Bull
Quality Performance Data Analyst(m/w/x)
Full-timeOn-siteExperiencedfrom 2,320 / monthElsbethen - Red Bull
Senior Data Scientist(m/w/x)
Full-timeOn-siteSeniorfrom 2,911 / monthElsbethen - Red Bull
Internship Data Science(m/w/x)
Full-timeInternshipOn-sitefrom 2,221 / monthElsbethen - Red Bull
Data & Analytics Specialist(m/w/x)
Full-timeOn-siteExperiencedElsbethen