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Data Scientist – TV-Insight(m/w/x)
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.
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
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
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
- SQL
- ggplot
- R Shiny
- Data Studio
Benefits
Competitive Pay
- Market-oriented salaries
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Data Scientist – TV-Insight(m/w/x)
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.
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
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
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
- SQL
- ggplot
- R Shiny
- Data Studio
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.
Not a perfect match?
- Red Bull
Senior Data Scientist(m/w/x)
Full-timeOn-siteSeniorElsbethenfrom 2,911 / month - Red Bull
Quality Performance Data Analyst(m/w/x)
Full-timeOn-siteExperiencedElsbethenfrom 2,320 / month - Red Bull
AI Scientist(m/w/x)
Full-timeOn-siteExperiencedElsbethenfrom 2,509 / month - Red Bull
International Commercial Analytics Specialist(m/w/x)
Full-timeOn-siteExperiencedElsbethenfrom 2,509 / month - Red Bull
Analytics Engineer(m/w/x)
Full-timeOn-siteExperiencedElsbethenfrom 2,509 / month