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Senior Data Scientist

vor 3 Monaten


Elsbethen, Salzburg, Österreich Red Bull Vollzeit
Company Description

Are you up for the challenge of contributing to the creation of an innovative digital and analytical product for the TV industry? Then this opportunity is tailor-made for you.

TV-Insight, a digital spin-off under Red Bull, is focused on developing a groundbreaking data analytics product. Situated in Elsbethen (Austria), TV-Insight is dedicated to transforming the TV measurement and advertising sector. As a data scientist, your role will involve building and enhancing the analytical framework of our new product capable of processing millions of classification tasks per second. Working alongside a team of data scientists, you will play a crucial role in defining the success of a cutting-edge analytics product by collaborating with data engineers, analysts, and business stakeholders.

Job Description

Contribute to the creation and enhancement of real-time machine learning applications

As part of this role, you will be responsible for developing and refining components of machine learning models that contribute to real-time projection processing. Working closely with a specialized team of engineers and data analysts, you will ensure a deep understanding of technical implementations and set high standards for your statistical models, thus driving immediate business impact.

Engage in Exploratory Analysis and Research

On the flip side, you will conduct comprehensive exploratory analysis to assess input data and achieve a thorough understanding of the models. In addition to research tasks, you will uphold our commitment to best practices in modeling solutions and code production. Your insights will be communicated effectively through dashboards and reports shared with management.

Promote Continuous Innovation

With a focus on staying abreast of technological advancements and industry trends to enhance skills and foster innovation, you will evaluate the potential of new industry developments. Through the implementation of your own ideas on a small scale to test and validate their expected benefits, you will drive continuous improvement.

Qualifications
  • Master's degree or PhD in a highly quantitative field such as Statistics, Mathematics, Computer Science, etc.
  • Relevant experience in quantitative analytics and/or statistics (e.g., from part-time roles or internships)
  • Advanced expertise in applying statistical modeling (e.g., R, or Python with a willingness to learn others)
  • Proficiency in data base languages (e.g., SQL)
  • Experience with statistical techniques, including regression, classification, and testing
  • Ability to transform findings into clear and concise visualizations (e.g., ggplot, R Shiny, or Data Studio)
  • Capable of delivering clear presentations on complex topics
  • Excellent communication and interpersonal skills
  • Strong appetite for learning
Additional Information

For compliance purposes, we are obligated to disclose the minimum salary as per the collective agreement for this role, which stands at € 2.229 gross per month. However, our competitive compensation package is benchmarked against market rates and significantly surpasses the specified minimum salary.

As an organization, we uphold diversity and empower individuals to nurture their potential and strengths, materialize their concepts, and seize opportunities. We firmly believe that employing a diverse workforce is pivotal to our triumph. We encourage applications from all segments of society, regardless of age, skin color, religion, gender, sexual orientation, or heritage.