Datavetare – sociala medier och influencermarknadsföring

Om rollen

Vi söker en datavetare med erfarenhet inom analys av sociala medier, influencermarknadsföring eller plattformar för skaparekonomi som kan omvandla stora mängder data från sociala medier till användbara insikter. Den ideala kandidaten bör ha stark expertis inom datavetenskap, maskininlärning, statistisk modellering och analys, samt förståelse för influencerprestanda, målgruppsbeteende, engagemangsmätvärden och trender på sociala medier. Du kommer att arbeta med att bygga prediktiva modeller, identifiera högpresterande influencers, upptäcka målgruppsmönster och utveckla datadrivna lösningar för att förbättra upptäckten av influencers, kampanjeffektiviteten och plattformstillväxten.

• 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.

Det du behöver

• 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