Python Job: Data Scientist

Function

You will be responsible for generating new insights on the performance of models and marketing campaigns to influence future development, improve offers, omnichannel personalization and next-best actions You make in-depth analysis on the customer behavior, combining customer profile and web-data to understand the full customer journey. Building and managing data pipelines to connect their clients to APIs of media tools (Google) Develop, use and evaluate media attribution models to optimize omnichannel marketing spend and the contribution of all touchpoints
You will be responsible for generating new insights on the performance of models and marketing campaigns to influence future development, improve offers, omnichannel personalization and next-best actions You make in-depth analysis on the customer behavior, combining customer profile and web-data to understand the full customer journey. Building and managing data pipelines to connect their clients to APIs of media tools (Google) Develop, use and evaluate media attribution models to optimize omnichannel marketing spend and the contribution of all touchpoints

You will be responsible for generating new insights on the performance of models and marketing campaigns to influence future development, improve offers, omnichannel personalization and next-best actions You make in-depth analysis on the customer behavior, combining customer profile and web-data to understand the full customer journey. Building and managing data pipelines to connect their clients to APIs of media tools (Google) Develop, use and evaluate media attribution models to optimize omnichannel marketing spend and the contribution of all touchpoints.

Profile


• Master or bachelor degree (e.g. AI, Computer Science, Mathematics, Econometrics, Market Intelligence or Media / Business with strong data skills) • You are a bit techie and actively research AI-tools and programmability of media technologies; eager to work with (big) complex data sets • Experience with data science techniques such as o SQL / databases / data pipelines o Programming skills (Python, Javascript, Spark, APIs, Git) o Statistical and machine leaning models • Domain knowledge of digital marketing channels (paid search, app, paid social, programmatic • Preferably hands-on experience with online data and tools (e.g. Google stack, Adobe Analytics, APIs, cookieless solutions) • Preferably experience with applying digital marketing mix modelling and optimization between brand and performance marketing • Strong analytical skills and conceptual thinking • Good communication skills to translate insights to business • Understand (and preferably speak) Dutch
• Master or bachelor degree (e.g. AI, Computer Science, Mathematics, Econometrics, Market Intelligence or Media / Business with strong data skills) • You are a bit techie and actively research AI-tools and programmability of media technologies; eager to work with (big) complex data sets • Experience with data science techniques such as o SQL / databases / data pipelines o Programming skills (Python, Javascript, Spark, APIs, Git) o Statistical and machine leaning models • Domain knowledge of digital marketing channels (paid search, app, paid social, programmatic • Preferably hands-on experience with online data and tools (e.g. Google stack, Adobe Analytics, APIs, cookieless solutions) • Preferably experience with applying digital marketing mix modelling and optimization between brand and performance marketing • Strong analytical skills and conceptual thinking • Good communication skills to translate insights to business • Understand (and preferably speak) Dutch
• Master or bachelor degree (e.g. AI, Computer Science, Mathematics, Econometrics, Market Intelligence or Media / Business with strong data skills) • You are a bit techie and actively research AI-tools and programmability of media technologies; eager to work with (big) complex data sets • Experience with data science techniques such as o SQL / databases / data pipelines o Programming skills (Python, Javascript, Spark, APIs, Git) o Statistical and machine leaning models • Domain knowledge of digital marketing channels (paid search, app, paid social, programmatic • Preferably hands-on experience with online data and tools (e.g. Google stack, Adobe Analytics, APIs, cookieless solutions) • Preferably experience with applying digital marketing mix modelling and optimization between brand and performance marketing • Strong analytical skills and conceptual thinking • Good communication skills to translate insights to business • Understand (and preferably speak) Dutch

• Master or bachelor degree (e.g. AI, Computer Science, Mathematics, Econometrics, Market Intelligence or Media / Business with strong data skills)
• You are a bit techie and actively research AI-tools and programmability of media technologies; eager to work with (big) complex data sets • Experience with data science techniques such as o SQL / databases / data pipelines o Programming skills (Python, Javascript, Spark, APIs, Git) o Statistical and machine leaning models
• Domain knowledge of digital marketing channels (paid search, app, paid social, programmatic
• Preferably hands-on experience with online data and tools (e.g. Google stack, Adobe Analytics, APIs, cookieless solutions)
• Preferably experience with applying digital marketing mix modelling and optimization between brand and performance marketing
• Strong analytical skills and conceptual thinking • Good communication skills to translate insights to business • Understand (and preferably speak) Dutch
  

• A 37-hour working week
• A gross monthly salary between €4.447 - €6.473 depending on work experience
• A monthly allowance of 10.5% on top of your gross monthly salary
• A mobile phone and laptop
• 50% discount on products and services
• A travel allowance for commuting
• Excellent pension conditions
• Good career and training opportunities and a personal training budget of € 1,500, -,
• Lots of freedom to research and develop in a large variety of projects in a very dynamical telecom market