Científico de Datos – Marketing en Redes Sociales e Influencers

Acerca del Rol

Buscamos un Científico de Datos con experiencia en análisis de redes sociales, marketing de influencers o plataformas de economía de creadores para convertir grandes volúmenes de datos de redes sociales en información accionable. El candidato ideal tendrá una sólida experiencia en ciencia de datos, aprendizaje automático, modelado estadístico y análisis, con conocimiento del desempeño de influencers, comportamiento de audiencias, métricas de engagement y tendencias en redes sociales. Trabalarás en la construcción de modelos predictivos, identificación de influencers de alto rendimiento, detección de patrones de audiencia y desarrollo de soluciones impulsadas por datos para mejorar el descubrimiento de influencers, la efectividad de campañas y el crecimiento de la plataforma.

• 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.

Lo que Necesitarás

• 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