Datawetenschapper – Social Media & Influencer Marketing

Over de Rol

Wij zoeken een Datawetenschapper met ervaring in social media analytics, influencer marketing of creator economy-platforms om grote hoeveelheden social media-gegevens om te zetten in bruikbare inzichten. De ideale kandidaat heeft sterke expertise in datawetenschappen, machine learning, statistische modellering en analytics, met inzicht in influencer-prestaties, doelgroepgedrag, betrokkenheidsmaatstaven en social media-trends. Jij zult werken aan het bouwen van voorspellende modellen, het identificeren van high-performing influencers, het detecteren van doelgroeppatronen en het ontwikkelen van gegevensgestuurde oplossingen om influencer discovery, campagneffectiviteit en platformgroei te verbeteren.

• Analyse large datasets from social media platforms such as Instagram, YouTube, Facebook, and TikTok.
• Develop machine learning models for influencer discovery, ranking, recommendations, and performance prediction.
• Build algorithms to measure influencer authenticity, audience quality, engagement rates, and potential fake followers or engagement.
• Develop predictive models to forecast campaign performance, reach, engagement, conversions, and ROI.
• Perform audience segmentation, trend analysis, sentiment analysis, and behavioural analytics.
• Work with NLP and large language models (LLMs) to analyse social media content, captions, comments, and audience sentiment.
• Design and maintain data pipelines to collect, process, clean, and analyse structured and unstructured data.
• Collaborate with engineering and product teams to integrate data science models into production systems.
• Define meaningful KPIs, build analytical dashboards, and communicate insights to business stakeholders.
• Monitor model performance and continuously improve accuracy, scalability, and reliability.

Wat je Nodig Hebt

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 3+ years of hands-on experience in data science, machine learning, or advanced analytics.
• Strong proficiency in Python, including libraries such as Pandas, NumPy, Scikit-learn, and SciPy.
• Experience building and evaluating machine learning models, including classification, regression, clustering, and recommendation systems.
• Strong SQL skills and experience working with large datasets.
• Experience with data visualisation tools such as Power BI, Tableau, or similar platforms.
• Knowledge of statistical analysis, hypothesis testing, feature engineering, and model evaluation.
• Experience working with APIs, data pipelines, and structured or unstructured data.
• Preferred Qualifications:
• Prior experience working on social media analytics, influencer marketing, creator