Znanstvenik podataka – Društvene mreže i utjecajni marketing

O ulozi

Tražimo Znanstvenika podataka s iskustvom u analitici društvenih mreža, utjecajnom marketingu ili platformama ekonomije kreatora koji će pretvoriti velike količine podataka iz društvenih mreža u djelotvorne uvide. Idealan kandidat imat će snažnu stručnost u znanosti podataka, strojnom učenju, statističkom modeliranju i analitici, s razumijevanjem performansi utjecajnih osoba, ponašanja publike, metrika angažmana i trendova na društvenim mrežama. Radit ćete na razvoju prediktivnih modela, identificiranju visoko učinkovitih utjecajnih osoba, otkrivanju obrazaca publike i razvoju rješenja vođenih podacima za poboljšanje pronalaženja utjecajnih osoba, učinkovitosti kampanja i rasta platforme.

• 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.

Što vam trebam

• 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